results_for_speaker_recognition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import subprocess\n",
    "import csv\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unit_gaussian(x,mu,sigma):\n",
    "    inv_cov = np.linalg.inv(sigma)\n",
    "    D = mu.shape[0]\n",
    "    exponent = np.exp((-0.5)*np.dot(np.dot((x - mu),inv_cov),(x - mu).T))\n",
    "    z = 1/(((2*np.pi)**(D/2))*(np.linalg.det(sigma)**0.5))\n",
    "    return z*exponent\n",
    "\n",
    "def calculate_likelihood(N,K,data,mu_k,cov_k,pi_k):\n",
    "    log_likelihood = 0\n",
    "    for n in range(N):\n",
    "        temp = 0\n",
    "        for k in range(K):\n",
    "            temp += pi_k[k] * (unit_gaussian(data[n],mu_k[k,:],cov_k[k,:,:]))\n",
    "        log_likelihood += np.log(temp)\n",
    "    return log_likelihood\n",
    "\n",
    "def testing_model(MAP_ADAPTED_MODEL,test_array,index1,index2,D = 13,K = 32):\n",
    "    mu_map,cov_map,pi_map = MAP_ADAPTED_MODEL[\"mean\"],MAP_ADAPTED_MODEL[\"cov\"],MAP_ADAPTED_MODEL[\"pi\"]\n",
    "    if len(test_array[index1:index2]) == 1500:\n",
    "        return calculate_likelihood(1500,K,np.array(test_array[index1:index2]),mu_map,cov_map,pi_map)\n",
    "    else:\n",
    "        print(\"not enough data points\")\n",
    "        \n",
    "def load_csv_file(file_path):\n",
    "    array = []\n",
    "    with open(file_path) as csv_file:\n",
    "        csv_reader = csv.reader(csv_file)\n",
    "        for e in csv_reader:\n",
    "            array.append(e)\n",
    "    return np.array(array,dtype = np.float64),len(array)\n",
    "\n",
    "def load_map_model(map_file_path):\n",
    "    return np.load(map_file_path).item()\n",
    "\n",
    "def check_name(list_of_strings,file_name_string):\n",
    "    for e in list_of_strings:\n",
    "        if e in file_name_string:\n",
    "            return True\n",
    "    return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ROOT_TESTING_FOLDER = \"/Users/siva/Documents/speaker_recognition/DHI_audio_files/converted_16k_voice_samples_with_mfcc\"\n",
    "ROOT_MODELS_FOLDER = \"/Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results\"\n",
    "NO_OF_DATAPOINTS = 1500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_test_files = []\n",
    "for root,dirs,files in os.walk(ROOT_TESTING_FOLDER):\n",
    "    if files != []:\n",
    "        for file in files:\n",
    "            if \".csv\" in file:\n",
    "                all_test_files.append(root+\"/\"+file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_models = []\n",
    "for root,dirs,files in os.walk(ROOT_MODELS_FOLDER):\n",
    "    if files != []:\n",
    "        for file in files:\n",
    "            all_models.append(root+\"/\"+file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/lin_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-129329.2563718]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-135378.86811802]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-133352.17381548]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-135945.50166592]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-142442.74105524]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-151997.41810179]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-151447.01597465]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-151719.85946069]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-131274.23715224]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-134667.36620407]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-132032.83092133]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-128715.68661464]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-128684.89435243]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-127268.60636873]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-128740.51009579]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-127755.98031207]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-126134.27901894]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-124691.25915858]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-124086.64352547]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-135362.62206744]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-136596.90881855]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-138585.80678991]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-137595.37786231]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-129329.25637094]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-135378.86811786]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-133352.17381545]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-135945.50166586]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-141064.01773757]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-144779.80137065]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-143309.95486706]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-144068.55259307]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-149224.56788413]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-152014.66837167]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-151068.4132818]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-151671.91081967]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-126028.02123455]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-124915.64148843]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-129223.75072356]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-124986.22182111]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-124886.85828078]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-76695.372029]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-76470.21039228]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-75090.75455301]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-75380.51632619]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-114867.6405495]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-117005.82094256]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-116654.83075626]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-120561.75077736]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-117932.92356644]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-119845.70671776]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-117580.76834749]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-117689.66325089]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-118326.60854191]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-86677.36071049]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-86399.80330546]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-86229.68512347]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-86726.15791624]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-80659.20956012]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-79696.08556841]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-78846.09851842]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-79446.87093434]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-79250.68627092]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-79480.54961842]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-78302.98049184]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-79922.54008377]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-86677.36071038]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-86399.80330542]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-86229.68512356]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-86726.15791621]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-140114.47508715]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-139612.28827676]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-136847.99045289]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-139927.89537999]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-145127.44618988]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-142371.65864098]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-140537.26457818]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-142719.55623537]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-130616.59717904]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-130462.06616411]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-129582.11215316]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-129439.0160399]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-140028.94347108]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-144088.06026937]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-139479.54031771]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-142348.79956405]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-132574.99455214]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-131879.27556795]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-130373.77125809]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-130993.78611114]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-129594.12619138]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-130616.59717912]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-130462.06616392]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-129582.11215304]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-129439.0160398]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-134678.31474404]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-136440.85637217]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-134503.91912748]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-127095.07877196]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-128493.91258371]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-126165.53016845]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-126420.14593693]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-83914.38686509]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-84930.77516069]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-84179.71107426]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-83659.85373566]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-84898.20301283]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-85601.25401424]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-86384.65337556]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-88041.33136462]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-89028.22185154]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-88598.58487157]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-84019.3948547]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-85287.10196284]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-84380.06539965]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-82882.75230928]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-84758.17173328]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-83118.43846749]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-84544.39817022]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-86653.99837206]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-85500.84035968]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-83246.23363959]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-86208.61344029]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-86640.16076416]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-85828.2704403]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-85481.27842444]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-84544.39817002]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-86653.99837215]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-85500.84035966]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-84236.08445445]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-85159.25375265]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-84314.82863777]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-85074.1056864]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-83691.23014846]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-85054.26491605]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-84497.76219642]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-87202.45003717]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-85202.24173575]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-86453.75048707]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-85417.64051526]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-83623.37334066]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-85517.07530667]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-83843.05738547]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-83675.48003256]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-82977.72281049]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-83753.20688678]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-86315.01390725]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-84751.33069311]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-86518.52111941]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-86457.7711404]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-85869.35514058]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-88106.61855067]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-85062.6334048]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-85013.03845551]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-86268.80190319]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-84561.89187157]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-85358.3269124]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-85795.90597152]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-87494.72755107]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-85320.59992363]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-86588.09856377]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-86942.18212465]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-86208.08702225]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-84873.52850155]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-85518.80619451]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-86599.97460921]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-86330.1387579]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-85494.89881734]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-134109.95563754]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-137511.03127007]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-134690.7997985]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-121202.10542826]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-124013.42280593]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-120260.10950018]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-121896.40688826]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-127477.66980829]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-128320.19591302]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-126916.27465508]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-132996.52445665]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-138082.2688659]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-138710.6886532]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-132996.52445736]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-138082.26886657]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-138710.68865336]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-135006.05948741]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-146637.54608762]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-147416.7577028]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-146742.41598817]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-141330.950432]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-147326.11046992]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-145676.91393768]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-122896.75104654]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-122761.44267291]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-124380.29446873]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-124995.78981026]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-122505.57967736]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-126603.00269709]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-73172.10325706]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-73281.35396522]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-76154.66776181]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-76012.15867228]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-74967.46343285]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-76656.29725553]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-77309.8657286]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-76342.2971899]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-77992.38100223]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-76168.3248739]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-75583.1443493]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-71605.25596006]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-73095.40757175]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-72708.80471587]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-73122.14145899]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-74667.0220966]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-73708.33964506]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-74376.02490071]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-73865.36910739]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-72304.68146814]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-71540.46194245]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-71580.69697329]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-72304.68146824]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-71540.46194249]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-71580.69697327]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-70837.67122592]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-72870.69614126]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-73053.28679818]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-72811.32112233]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-72405.12529461]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-71746.82782747]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-72537.35617588]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-71731.24647568]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-71796.8188625]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-72838.90945227]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-71379.97175068]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-72767.12983364]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-72588.71718359]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-83998.45235232]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-84685.75658024]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-83837.30693927]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-82035.28466437]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-82354.77148533]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-83103.74318024]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-84752.84409695]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-83913.88565806]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-84146.50198522]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-84973.61689929]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-84117.76064709]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-78874.67720859]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-80669.14019744]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-80605.09646063]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-79739.75449709]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-84249.33522087]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-81278.62143537]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-82518.05778784]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-82550.42640093]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-81595.29240746]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-81258.59252819]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-83171.91561268]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-82938.80547663]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-86141.96723201]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-84421.99961632]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-85356.94444737]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-84000.00671063]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-81466.86005586]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-82390.3966633]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-82392.02560845]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-81112.26157756]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-86872.70725055]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-86608.00577721]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-86477.82293407]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-86336.16748477]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-82666.36299072]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-83938.49679577]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-82273.32357631]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-82104.85149819]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-89215.83617812]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-91699.96694481]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-90585.7982009]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-89898.28626022]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-82666.36299066]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-83938.49679571]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-82273.32357621]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-82104.85149788]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-84532.87041399]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-85325.55367699]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-84776.98443812]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-84699.36130207]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-85821.975332]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-88123.18453311]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-86342.01447063]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-86927.03375292]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-87216.56939598]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-87257.53362443]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-75622.29984451]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-76403.04588146]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-75233.56401186]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-77833.37013911]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-79009.85727976]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-78561.04746686]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-76821.91086112]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-76806.84152733]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-77195.88774685]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-77392.29861861]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-77108.97603743]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-76641.04489924]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-76393.70227604]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-75827.08599727]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-77434.02368706]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-77487.0479425]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-80037.03394436]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-79116.38480039]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-78821.19978922]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-78138.97049496]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-78503.62300985]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-77112.64622357]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-78285.87894111]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-77482.44372751]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-77833.37013876]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-79009.85727981]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-78561.04746684]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-77058.89562943]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-76973.8229987]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/mariah_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-137337.32935574]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-145940.65510612]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-145949.41647692]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-147308.92942119]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-145935.5527868]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-158092.51631908]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-159040.38136602]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-158846.50134828]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-141077.47637309]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-147752.13997532]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-145753.52720071]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-133032.06529254]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-135101.5904665]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-133937.84667751]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-137116.58188798]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-137252.3646824]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-135940.00686751]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-135831.48658963]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-134737.40188902]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-141976.90048768]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-143655.49850442]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-148462.61194481]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-146129.37628289]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-137337.32935475]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-145940.65510593]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-145949.41647687]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-147308.92942113]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-149127.62510021]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-156526.48645334]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-156697.2812789]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-155726.0036051]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-154969.37011444]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-157844.7923163]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-158791.95541906]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-158475.56559175]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-133619.09356287]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-132970.26609264]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-137184.1935234]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-133934.07522079]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-133165.65838529]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-75925.19417695]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-75077.45525331]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-74124.54172642]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-74997.86033846]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-122518.20224892]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-124813.49615244]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-126930.5582998]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-126394.05330223]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-124611.73566751]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-126943.16992653]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-127127.89215437]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-127571.87573875]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-126728.74766166]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-78992.59556482]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-77259.33955047]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-77572.03685233]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-77516.44073666]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-78017.07304144]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-77356.51787068]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-77501.43977723]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-77232.63422522]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-77977.38087387]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-77485.77781286]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-76815.38793081]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-78165.38346886]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-78992.59556471]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-77259.3395504]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-77572.0368523]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-77516.44073671]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-141502.82869629]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-141363.04239649]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-139633.12428811]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-142642.44752981]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-146913.89519012]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-144690.37266424]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-142954.45106833]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-144866.80224366]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-129503.05622222]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-131673.12790947]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-130839.33376251]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-131187.96389566]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-142625.26623087]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-146039.09571528]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-141152.82081976]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-144656.8543097]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-133015.09587958]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-130960.63369742]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-129684.29200572]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-132747.01367477]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-129384.47516123]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-129503.056222]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-131673.12790894]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-130839.33376252]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-131187.96389577]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-135793.79699127]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-137625.18201564]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-135933.48257159]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-128056.04502559]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-130923.70677298]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-127529.77571372]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-128514.60114088]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-76500.50155665]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-76877.09913724]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-77709.45659729]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-79189.08748813]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-74740.55263374]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-74614.78565628]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-75596.24240096]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-77516.64519459]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-78240.65223665]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-77760.42168645]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-75273.48820735]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-75720.0854666]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-75712.36525856]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-75599.79997801]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-76636.20371073]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-76179.59489571]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-76439.14081488]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-77516.87613465]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-77042.5366157]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-75323.23919487]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-76668.79912555]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-76470.05426747]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-76727.09040521]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-76977.34341179]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-76439.14081497]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-77516.87613472]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-77042.53661574]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-75565.60118097]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-75514.38629119]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-75741.68516737]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-75549.45902887]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-76762.62981307]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-76763.87802662]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-77172.61835933]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-77607.32402737]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-76832.78366831]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-77291.80305]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-77205.00697738]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-75849.73545625]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-77244.08113682]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-77332.00993854]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-79817.56367139]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-80489.32413252]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-81355.19465227]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-78503.70026896]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-80312.34838204]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-81269.1937098]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-78446.50850865]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-82285.61332541]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-79519.9714539]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-80673.94237511]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-79271.20703675]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-79978.94419361]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-79092.39476447]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-79799.41778031]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-79547.47760593]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-80026.58960808]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-80535.77631724]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-80393.5105361]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-80797.60448124]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-79154.40604822]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-79880.09952329]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-78738.00721813]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-79013.50099884]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-79419.48780228]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-81189.33766217]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-140366.05603716]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-145677.46662608]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-143742.08900562]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-126076.14651576]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-127260.19064742]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-124502.68501821]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-128477.02559942]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-130626.68459552]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-133695.50495596]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-132850.22657088]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-138292.82604563]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-144640.81192866]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-146328.99373094]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-138292.82604648]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-144640.81192948]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-146328.99373126]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-138430.17629166]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-155692.98245446]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-154574.2751705]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-154561.40116717]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-147189.91831495]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-154787.54597453]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-153983.57499653]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-125963.6238824]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-125290.66620848]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-126480.68299721]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-129152.82535576]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-126548.99252718]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-130987.79721227]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-81769.09438245]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-79484.2375713]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-81253.9064776]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-80208.40565889]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-79039.51835036]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-85779.22573553]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-87552.42134858]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-87371.90183345]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-84156.46502489]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-84723.89272036]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-85739.70499167]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-81864.18871103]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-82925.29106008]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-82417.54317627]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-81978.82399694]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-79440.08080678]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-77120.55815893]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-77791.70134638]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-78035.23663827]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-81541.91984221]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-80891.53473332]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-80722.47313875]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-81541.91984235]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-80891.53473341]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-80722.4731389]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-80567.3154069]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-83193.48067359]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-82889.59838607]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-81677.2242514]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-76528.25893823]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-76360.11329314]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-76697.77636196]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-77294.84134896]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-78354.64334527]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-77172.7559475]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-76211.30683329]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-76498.60417504]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-77232.51640734]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-75174.98917156]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-75391.90420152]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-74784.68086299]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-74865.09010861]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-74723.81484695]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-76306.59672668]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-77441.32282418]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-76787.32248658]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-77191.8334104]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-73653.49437177]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-73715.72423868]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-73869.42508458]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-74481.20145858]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-73774.42183288]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-73850.10560558]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-74014.80288905]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-72300.33761676]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-72916.40433085]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-73434.93034978]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-73207.91185204]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-72545.95820838]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-72855.76365322]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-73129.87239034]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-74072.14709424]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-74658.71848978]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-74861.55236394]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-75286.74616795]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-72845.76938129]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-72366.01139808]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-72583.43902696]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-72730.47768635]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-76078.24624153]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-78251.7982509]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-77389.47166011]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-77848.45359964]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-71307.23437338]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-71245.97646555]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-71457.88139256]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-70573.63008513]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-76782.90908242]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-77057.76466973]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-77333.87650911]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-76554.57140076]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-71307.23437331]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-71245.97646559]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-71457.88139262]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-70573.63008495]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-72621.88346784]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-74318.87184518]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-74911.87869074]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-75361.53757]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-75579.75059845]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-76294.81204534]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-75679.91750705]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-76387.1007572]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-77053.51973227]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-77047.52828736]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-78463.61484443]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-78352.5719622]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-78383.48481623]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-81787.7006903]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-81605.19811028]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-81643.52765941]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-80404.50004146]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-80461.3172801]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-82355.06629291]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-82150.36105009]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-78878.04959685]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-77411.96814921]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-76848.84930599]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-79925.10723087]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-81693.33335628]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-82210.26766657]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-83570.59364296]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-83054.50700936]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-83649.60110768]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-79172.53807189]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-79914.44692316]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-79476.02553885]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-81127.11297397]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-81331.34719615]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-81787.70069008]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-81605.19811023]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-81643.52765933]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-81872.96545396]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-81353.57395848]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/ew_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-140160.99514048]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-145378.35498324]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-144966.69994277]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-144687.25481003]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-148805.81900981]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-159258.33906202]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-159479.14339377]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-159712.9998427]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-140072.88524017]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-144872.31050954]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-142727.82331134]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-134618.99948464]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-135991.3628026]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-134601.92888161]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-136352.96273864]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-139275.65817301]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-136514.47795434]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-137256.74679195]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-135499.58636455]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-144913.46242232]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-144523.40107739]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-148878.67554817]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-147204.36963852]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-140160.99513944]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-145378.35498303]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-144966.69994271]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-144687.25480996]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-147732.51230322]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-152346.29021584]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-152722.0840983]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-150546.20764307]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-157205.50127932]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-158869.45614911]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-159267.11617316]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-159431.43951545]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-133954.43546898]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-133387.38451956]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-136280.90076019]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-132770.9940064]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-132378.41692875]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-82108.39958109]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-80638.45884247]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-79728.01712062]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-80089.60956915]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-125209.53615655]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-126141.63362333]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-128339.60172223]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-130218.33295516]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-128191.37372292]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-130038.08408498]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-130207.23250272]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-130476.37787398]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-130073.30468717]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-82500.08271541]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-79944.02667733]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-79066.59491797]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-79526.14592938]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-82965.00726072]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-81892.37928572]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-81884.2826389]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-81508.55799715]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-83536.69682904]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-81808.35497614]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-80697.66780123]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-82894.57972082]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-82500.08271537]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-79944.02667744]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-79066.59491809]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-79526.14592937]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-143077.5293099]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-142741.27725825]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-140379.94732801]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-144263.79244718]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-149426.47129495]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-145984.60915482]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-144368.80435113]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-147934.2992188]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-133109.644453]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-133421.44532836]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-131506.65918529]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-132701.3560403]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-143744.48486938]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-148334.480361]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-142508.0411335]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-147181.95123232]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-135381.25665178]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-132425.65565641]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-131186.24768626]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-133939.11850263]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-130714.71047658]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-133109.64445322]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-133421.44532788]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-131506.65918519]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-132701.35604045]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-139188.1493136]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-140058.34577146]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-137647.81663446]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-128978.15691999]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-131899.91033888]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-128542.31884739]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-129825.35419314]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-77647.46359201]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-78204.65493457]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-78580.25868244]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-79686.99282317]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-79656.34497902]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-79362.97556483]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-80137.10556033]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-81239.73303275]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-81173.53971691]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-81924.66885147]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-77704.53373629]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-77085.56703129]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-77632.70487072]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-79680.39688153]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-79923.99325085]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-80125.25574045]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-79790.86067076]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-80345.53697655]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-79695.97465308]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-77898.42892863]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-79802.79925064]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-79114.47567602]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-79499.1029437]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-79634.34548776]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-79790.86067048]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-80345.53697672]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-79695.9746531]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-77974.46355799]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-77894.59338858]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-77053.45646545]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-77654.54660513]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-80239.66924392]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-79317.50245814]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-80656.89931984]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-80834.93816346]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-79487.02718321]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-78789.49817509]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-79701.16097023]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-78859.35743004]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-79467.44521781]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-78550.55969809]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-79641.67641012]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-80900.50297098]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-77065.5563916]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-76636.23776369]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-76081.73439531]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-76170.57587709]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-74629.88406099]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-77627.91895182]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-73955.93106719]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-73931.76025993]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-72979.04215386]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-72579.38990034]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-71522.81622347]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-71749.22534405]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-72054.40420666]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-73691.91732876]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-73574.47388294]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-73925.09094438]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-74420.83053352]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-73568.64865665]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-73375.67696553]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-72122.55115384]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-72996.56306373]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-72987.80614142]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-73974.09375133]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-141028.1661549]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-143920.99412589]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-142256.11858012]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-127650.40548257]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-128086.67319153]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-126694.5500751]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-131137.12528069]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-132783.78344871]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-135499.30590987]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-134603.50308494]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-141358.35059507]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-145449.06767346]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-147700.57768255]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-141358.35059604]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-145449.06767415]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-147700.57768276]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-140309.87709079]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-157136.39092797]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-154504.58719486]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-152884.78856742]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-149617.67481864]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-154945.00750087]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-152209.394387]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-129127.62373456]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-130094.20485809]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-130208.87514181]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-131057.38799595]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-129195.39754741]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-133142.56700716]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-84378.38852387]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-81640.61051979]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-82642.81797144]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-81517.50565307]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-81063.82312338]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-86695.16318139]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-88415.55802881]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-88651.13232331]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-88977.90988703]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-86932.35660315]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-87299.15741564]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-84133.3617572]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-83586.20410263]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-82905.36326644]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-82344.57473264]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-83317.13334182]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-81529.89704247]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-81945.26246064]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-81746.68138821]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-84598.12544138]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-83386.94409895]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-83589.41613048]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-84598.12544133]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-83386.94409901]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-83589.41613051]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-82594.39246285]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-84464.64283629]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-83408.89292239]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-82418.28495773]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-83474.61916979]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-81844.30244698]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-82135.21106187]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-82262.99140483]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-83367.89009568]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-81931.28850892]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-81107.4017358]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-81327.16267408]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-81492.72110519]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-81012.88659196]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-80617.64010995]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-79740.30840105]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-80612.10871744]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-80467.19174056]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-82027.29338528]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-81625.70994873]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-81673.20884586]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-81400.59187626]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-79150.49081391]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-78268.45294629]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-79887.50152947]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-80811.96644822]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-80131.37669162]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-80353.51414686]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-80040.42239053]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-77605.48332898]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-78184.96149008]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-78814.46775543]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-78054.87894585]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-77214.77729279]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-78191.97273391]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-77547.63821176]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-78605.97639027]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-77782.25111302]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-78146.09068568]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-78183.63288894]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-77810.61896719]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-78123.17762988]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-78996.71091272]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-79154.30941546]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-80518.84277741]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-82731.62149984]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-81928.5974927]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-82545.44886708]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-78110.92267184]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-77780.35131344]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-79542.31499002]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-78443.71398456]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-81681.61507102]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-80928.0803419]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-81883.86700996]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-81324.27053913]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-78110.92267194]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-77780.35131342]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-79542.31499006]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-78443.71398435]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-78541.35373094]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-77570.18576882]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-78275.81450799]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-78328.3435988]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-79779.81046987]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-80862.18490799]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-79703.13322358]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-80602.4497493]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-80862.64839568]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-80449.05152064]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-83216.84116696]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-82615.81004423]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-82815.95462909]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-85768.4949592]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-84924.06850217]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-85540.76306674]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-84949.2542774]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-85407.71921507]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-86842.4372705]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-86741.25976282]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-85747.64585531]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-81651.90874651]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-81219.42492038]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-85187.06040944]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-85896.31214182]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-87082.3406419]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-87992.76199014]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-85328.69215603]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-86424.28069097]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-83089.14136644]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-83208.08882527]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-83492.90930604]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-85306.13867671]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-85448.98750587]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-85768.49495882]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-84924.06850205]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-85540.76306666]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-85910.0259378]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-85275.59207271]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/kara_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-80528.97759727]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-82295.90442087]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-83757.86381766]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-82843.11399127]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-79808.66391081]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-81113.33301465]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-81686.41508985]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-81007.91778032]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-80392.36606936]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-82073.94315647]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-81737.54829932]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-79977.34129932]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-80469.28585549]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-80642.92102913]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-81129.38854516]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-83266.74874463]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-83127.70012042]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-83551.17924018]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-83382.68390663]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-81521.41350068]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-80921.97666192]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-81483.39188975]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-81664.78567207]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-80528.9775972]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-82295.90442085]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-83757.86381748]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-82843.11399124]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-81507.17893134]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-83955.61904215]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-84345.60582068]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-83328.23224719]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-81134.76256759]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-81012.56832569]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-81585.44911709]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-81161.33437742]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-80361.25825423]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-80065.27522046]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-80968.81710055]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-80461.96737927]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-80603.47659817]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-76993.95496784]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-76305.52467705]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-75581.47330545]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-75978.60182851]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-79386.07752703]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-79140.15657749]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-80938.96028329]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-80772.77424676]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-79360.26158205]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-80310.28506264]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-79904.00801063]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-80385.43866384]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-80466.24782122]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-79034.38310863]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-78359.18241852]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-77985.43947888]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-78298.16200065]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-78730.72331902]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-77669.31647743]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-77403.28997284]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-77524.20853661]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-78873.16244173]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-77533.86479672]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-76737.62956285]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-78198.06261253]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-79034.3831087]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-78359.18241846]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-77985.43947887]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-78298.16200063]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-78356.60221549]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-78118.95641379]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-77811.57618136]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-77429.07402091]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-78574.29767177]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-78093.48438357]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-77784.48513069]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-77910.96365464]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-77519.81515226]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-77083.68874924]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-76953.1093405]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-77060.80173981]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-78007.68731414]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-78479.41215742]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-77675.68993329]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-78008.79770996]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-77817.67853524]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-77244.2180611]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-77090.86878386]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-77410.14739107]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-76568.15882697]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-77519.81515226]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-77083.68874912]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-76953.1093404]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-77060.80173988]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-77829.99618444]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-77634.14755762]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-77581.3897465]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-77211.31885707]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-77585.97003555]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-77038.0964707]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-76823.36856262]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-78291.26713529]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-78607.8446964]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-78207.52178391]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-79098.21355397]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-78590.45398012]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-78440.64626704]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-79713.51380645]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-82038.99270995]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-82941.09948493]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-82148.6866565]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-77489.34395011]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-77764.8538926]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-78038.92887042]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-77304.82322865]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-78607.96672544]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-77478.23297881]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-78227.6134868]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-79292.00800596]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-78519.55320628]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-77176.69492881]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-79113.59676451]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-78968.91467372]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-78383.06471555]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-78927.5148645]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-78227.61348669]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-79292.0080061]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-78519.55320626]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-77013.89670888]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-77932.74202893]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-77765.83145078]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-77548.95243287]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-78611.51608494]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-79016.40161479]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-79106.47422131]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-79693.63286611]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-79895.90811819]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-80394.29531507]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-80354.00600973]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-77373.43133039]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-78415.28898802]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-79645.10780484]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-80569.97738444]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-81109.31352831]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-82015.39291018]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-79015.51655005]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-81447.55896615]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-81698.93314767]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-79182.21843228]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-84599.134443]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-81393.85417135]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-80497.38234502]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-79445.1981842]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-81370.66040001]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-79434.16077234]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-79479.88262824]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-80443.56136612]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-81484.19276598]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-81101.02991275]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-81197.03466975]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-81637.00878273]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-81152.21778775]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-80122.28331665]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-79180.18979443]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-79967.0227966]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-80313.03563958]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-81609.94633644]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-77663.39227996]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-78701.61389435]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-78471.10448695]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-77673.12662784]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-78233.39125269]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-77164.31683299]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-77728.71433902]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-76664.10477117]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-76494.66612093]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-76714.71108523]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-76247.76720619]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-76957.2014219]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-76964.58969347]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-76247.76720614]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-76957.20142191]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-76964.58969352]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-75470.00235091]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-78433.89210027]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-77525.08999453]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-78127.77681686]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-77067.48397145]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-77572.45630215]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-78034.37566575]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-76334.44773474]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-76320.70390719]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-76301.58724984]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-75547.84821331]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-75568.71159714]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-75936.62512655]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-80500.5540332]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-77449.13481685]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-81484.46913706]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-79725.28505993]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-78776.29306891]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-88928.71401508]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-90090.03914458]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-90343.0330274]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-87662.25345188]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-86871.35601749]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-86877.03461853]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-84042.36904737]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-83790.03366806]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-82521.31265371]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-82428.7446404]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-81666.9116532]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-78473.63451471]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-79180.8108159]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-79605.10573469]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-80724.47633237]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-78170.36858903]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-78320.15885622]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-80724.4763326]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-78170.36858919]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-78320.15885627]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-79767.47036362]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-84831.61709816]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-83144.37910108]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-82391.89433591]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-80469.1318133]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-77539.56367848]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-76817.94904634]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-77213.33276832]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-78760.25335584]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-76959.88508585]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-75315.93295705]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-76110.13525774]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-75881.99673977]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-79706.00548455]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-78985.41360851]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-78106.14932783]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-78679.67882784]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-78944.45012453]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-81570.77508527]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-82208.75712051]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-81692.1742364]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-81797.47712278]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-79703.3637486]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-78858.46656194]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-75795.01115684]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-77026.54535064]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-75726.65945952]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-76760.74945599]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-78573.58897468]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-74882.24072105]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-75958.08057024]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-75724.07736066]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-75311.28193107]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-75574.16723049]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-75884.31226278]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-75489.21213289]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-78407.99046582]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-78408.09838831]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-78992.1125844]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-79153.9355976]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-76593.56144207]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-76113.35202754]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-76390.98586735]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-76790.74865199]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-81981.33602972]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-81867.33922835]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-81480.71882435]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-82123.93823373]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-77939.53017039]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-77023.28513575]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-77709.89105926]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-76232.59996584]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-84516.29059547]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-85271.55847023]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-85553.32341499]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-83791.67769672]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-77939.53017024]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-77023.28513566]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-77709.89105925]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-76232.59996595]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-77304.8545314]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-77884.07795098]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-79042.02689644]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-79653.11229541]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-79236.53779296]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-80802.32223928]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-79469.88184732]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-80151.09014531]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-81130.92141678]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-81378.86755715]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-79904.73278551]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-79818.25950735]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-80165.21513725]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-86014.16131053]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-84503.19515211]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-84854.58453488]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-83841.08000442]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-84542.49472592]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-87233.10870696]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-87126.71440377]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-85791.20316188]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-81487.74857003]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-80530.92159942]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-83825.40988213]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-85807.99346956]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-87851.74627464]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-91970.10825319]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-89462.82547892]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-90320.77303824]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-81226.56622661]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-82202.8705106]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-83156.80698407]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-85671.60627309]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-86000.40968778]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-86014.16131004]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-84503.1951521]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-84854.58453488]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-86944.63742538]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-85547.87547146]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/cindy_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-149985.66546269]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-158949.33589899]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-158915.07885919]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-159516.05598889]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-159565.02478554]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-173504.46564798]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-173975.24491053]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-173225.77233029]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-154508.01137547]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-161335.00364692]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-158857.28123851]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-145815.56085296]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-148802.10000557]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-146616.5161979]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-149339.76653512]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-149386.6644461]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-147641.15852553]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-147066.26070734]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-146332.23578857]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-156146.18768984]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-158297.3337613]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-163504.46406781]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-160867.37982225]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-149985.66546158]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-158949.33589863]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-158915.07885915]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-159516.05598889]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-163905.4527426]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-171518.13534036]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-171718.18155051]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-170305.48196957]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-169815.852082]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-173211.63555905]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-173178.27517079]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-173498.45525435]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-144803.45801552]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-143388.95075306]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-148463.7015126]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-144497.17860511]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-143185.93577053]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-73912.19939001]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-72958.96026957]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-72044.97956371]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-72601.68798726]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-133320.60682568]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-135687.46432827]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-137274.17307067]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-137713.02246304]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-134987.08363491]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-137459.87974021]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-137625.78282566]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-138437.3923015]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-136880.73575189]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-72342.54179576]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-70170.17651946]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-69835.63371371]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-69846.46369875]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-71668.55323422]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-72573.87279441]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-72715.76974281]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-73092.5984994]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-72638.31688562]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-72654.43125464]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-72362.21511322]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-73566.46708566]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-72342.5417958]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-70170.17651933]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-69835.63371372]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-69846.46369877]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-155629.7842262]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-155318.10185554]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-153373.66958059]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-156176.40960476]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-161147.45705247]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-158480.82359775]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-157043.04369886]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-158729.37256118]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-143734.04525889]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-145877.20885089]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-145410.94688935]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-145213.52960958]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-156716.55485942]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-160500.38993502]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-154793.75806605]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-158601.03549595]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-147062.6447517]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-144906.29800952]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-144157.25932227]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-145947.58914242]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-143200.66945834]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-143734.04525889]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-145877.20885032]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-145410.94688921]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-145213.52960957]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-149463.41387401]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-152567.23492873]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-150297.8154539]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-141129.28009386]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-144565.52418079]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-141350.61064128]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-141566.88074004]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-77302.76431291]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-77637.64415434]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-77533.5416811]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-78525.58375764]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-75257.81356035]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-75229.87644434]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-75742.64025611]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-80400.72398899]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-81143.28098474]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-80626.80654887]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-80204.3773499]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-81441.59335201]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-80665.82721653]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-73382.70515015]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-73125.17356584]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-73138.96626879]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-75307.27774011]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-75902.76506436]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-75309.81051511]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-74532.50401134]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-75685.49415868]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-75436.18408868]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-75033.32307542]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-74878.47004485]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-75307.27774009]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-75902.76506453]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-75309.81051512]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-76819.0243512]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-81261.25235959]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-80832.93224329]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-80526.77284448]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-75006.57382167]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-75541.82721481]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-75014.63140334]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-75276.37041456]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-79906.05546162]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-80267.4996836]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-79728.80781427]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-75021.37197476]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-75650.45749677]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-79203.52980131]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-79916.60306463]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-79464.37280183]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-84175.29570295]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-79994.08217905]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-82861.73315546]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-84254.33986849]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-80932.44806243]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-85627.23997396]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-84449.88671292]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-84584.31421825]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-83455.02443303]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-83509.84666843]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-81797.59466104]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-82849.95189817]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-82752.07721254]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-84020.70956199]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-85274.2033196]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-83756.33905449]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-84964.36740449]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-83529.56767166]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-84274.4150067]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-83594.22434166]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-82670.11070647]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-83465.54870632]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-85395.70606223]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-153642.34378277]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-160950.17587172]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-158178.16484019]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-138836.40449272]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-140706.88759971]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-137169.90633216]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-142161.34769261]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-144827.43197532]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-147970.93570233]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-147206.47841924]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-153364.86670485]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-160162.49242254]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-162136.80836911]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-153364.86670571]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-160162.4924236]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-162136.8083694]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-152453.66033656]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-171163.44106186]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-170287.12457423]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-168754.16289648]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-161233.79824576]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-170374.94576529]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-167859.68894667]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-138194.28399604]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-138546.95759445]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-139554.64430706]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-141457.99410006]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-138010.63722258]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-143281.0976804]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-82782.8685371]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-80880.64679315]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-81850.38374245]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-80818.45829992]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-79704.13886966]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-88068.97254854]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-89615.59058531]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-89941.31776474]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-87411.82157838]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-87368.92585722]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-87967.97616139]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-83366.45387206]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-84791.84139145]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-84318.55301383]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-84914.07081482]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-77876.39374264]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-76118.70993252]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-76436.47525273]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-76833.66312908]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-82147.53831945]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-81741.15047354]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-82265.95171916]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-82147.53831963]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-81741.15047375]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-82265.95171919]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-81277.53337677]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-85097.6181387]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-84735.12149016]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-84116.84330365]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-78278.3960245]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-77229.96560904]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-78169.61147964]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-78136.77586588]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-78664.56756428]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-78190.68813576]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-76700.24474299]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-77518.91364405]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-77819.44213553]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-79064.7560806]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-78628.75251805]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-78108.25575681]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-78100.54673562]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-78221.19614651]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-78013.7532142]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-79262.33013943]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-78790.79955605]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-78912.02901008]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-79403.73636765]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-79088.38942412]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-74753.52926297]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-75880.85555354]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-74905.39864799]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-75795.70646145]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-77538.74806883]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-74804.29497279]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-75117.78862416]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-74747.29655309]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-74874.69182457]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-74089.06744806]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-73976.57761152]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-73778.34664248]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-81824.83270683]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-81462.49262255]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-82629.12745231]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-82019.96606893]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-75315.86534604]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-75544.13648033]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-75045.20492823]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-75319.04072095]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-75436.07735829]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-76544.42016527]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-75832.57932838]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-76301.10786129]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-77291.21021782]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-77521.12623432]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-78389.19992589]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-76943.37806361]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-82562.21034551]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-84204.59708515]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-84257.68408927]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-83148.09907634]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-77291.21021778]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-77521.12623447]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-78389.19992601]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-76943.37806355]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-79061.50124814]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-81992.70474499]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-82015.26930903]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-82374.16077297]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-77334.49448088]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-79258.39596085]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-77706.12498149]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-78441.08342813]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-78862.34159013]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-78571.67271558]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-77422.91187856]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-77400.75122724]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-78019.91476734]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-82455.736168]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-81338.05818364]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-80782.99015542]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-79363.04383767]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-81537.00168147]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-83440.00516279]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-83185.24782683]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-78366.06960006]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-75696.63380141]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-75169.3637133]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-80899.06125622]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-82663.79721461]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-83329.94809822]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-87776.05051869]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-86234.56850728]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-86571.24949657]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-78316.42016229]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-79654.85148131]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-78767.2967455]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-80703.34452297]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-80185.11598556]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-82455.7361675]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-81338.05818356]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-80782.99015511]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-83139.30553449]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-82758.72151344]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/samarth_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-81008.81363625]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-81972.37856784]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-82646.73999594]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-81490.4279736]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-80154.1037247]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-81344.47719949]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-81913.43507344]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-81519.22993635]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-80674.34185926]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-81953.03020589]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-81335.03521375]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-79538.57941712]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-79687.21925999]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-79408.57314705]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-80182.39533782]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-82865.50142242]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-82230.47433867]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-82482.15503317]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-82256.23032688]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-80673.36839396]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-79998.21320451]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-80357.11072698]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-80427.19058195]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-81008.81363616]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-81972.37856782]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-82646.73999576]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-81490.42797356]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-82947.90871763]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-85431.06300834]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-85441.46456556]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-84072.85675889]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-81535.39150634]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-81327.16736619]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-81857.50713177]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-81549.93225396]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-80465.33281727]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-79698.07296721]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-80241.20573564]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-79650.600223]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-79527.11126487]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-78413.3937568]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-77827.8286883]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-77201.6596473]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-77158.47440337]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-80086.49589962]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-79273.61617965]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-80602.61678441]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-81779.64667327]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-79790.42613673]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-80903.73111476]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-80472.63667446]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-80851.3989146]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-81068.6458666]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-79420.53964057]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-78617.2158205]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-78363.16204697]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-78605.04742307]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-79088.11659039]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-77987.22053082]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-77642.68774781]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-77697.23572687]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-79193.47667304]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-77868.08349241]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-76966.24400892]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-78383.62236828]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-79420.53964074]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-78617.21582044]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-78363.16204697]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-78605.04742308]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-76073.87744947]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-75670.78281768]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-75238.01148892]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-75467.75912803]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-76711.32939186]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-75979.51121186]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-75875.68129784]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-76156.21378849]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-74778.25280814]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-74182.95906386]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-73405.4005788]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-73804.49759474]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-75380.03301884]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-76541.13494663]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-75591.31870154]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-76308.22140592]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-75225.7211622]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-74619.99423988]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-73881.03199849]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-74737.32039225]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-73633.63603211]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-74778.2528082]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-74182.95906373]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-73405.40057869]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-73804.49759482]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-75444.04903599]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-75045.49256479]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-74858.85316124]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-75449.82974885]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-75816.68577557]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-74570.75716647]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-75032.75093268]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-78544.16813006]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-78805.57638313]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-78382.63421045]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-79287.58324374]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-78946.15621736]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-78852.73909535]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-79999.28861102]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-82267.33628565]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-83092.92935125]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-82426.10715087]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-77636.4636796]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-77865.73441315]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-78120.46915243]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-77864.29806172]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-79171.78916508]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-77905.59064192]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-78503.05019921]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-79530.50152693]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-78723.67524562]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-77476.15718497]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-79355.25784604]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-79259.41036153]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-78696.71836765]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-79205.93978708]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-78503.05019907]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-79530.5015271]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-78723.67524558]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-77209.4667681]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-78055.23977157]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-77837.22568429]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-77648.34637834]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-78928.71569921]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-79429.61271351]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-79492.22932533]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-79975.24076244]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-80077.58649592]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-80514.56220428]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-80502.13685451]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-77625.54112424]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-78696.66665957]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-79802.83861459]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-80664.88600248]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-81230.29598589]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-82273.48126626]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-79215.00572068]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-81878.67136116]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-81960.0116307]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-79632.19856275]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-84744.687194]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-81556.24829308]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-80577.92288715]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-79630.08167818]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-81512.42786057]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-79503.09296786]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-79636.95057724]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-80643.17109317]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-81620.28546723]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-81173.45013696]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-81205.95689654]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-81644.29361298]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-81271.29312806]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-80191.75791892]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-79337.8088626]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-80113.28464385]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-80456.89096023]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-81672.59353557]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-78181.36987368]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-78766.81308933]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-78559.88931639]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-78248.54457604]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-78125.2122636]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-76745.02687071]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-77662.8999258]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-76737.46893918]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-76373.76240022]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-76967.72946872]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-78498.31760969]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-78684.25504703]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-78629.47377889]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-78498.31760964]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-78684.25504704]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-78629.47377898]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-76965.35858439]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-80372.01543204]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-78838.45152155]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-79075.88087923]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-78580.31659008]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-79121.94001452]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-79038.25550093]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-76881.54888266]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-76851.16677512]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-76941.98081063]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-76943.78196345]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-77095.04761719]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-77303.27617579]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-80659.13490861]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-77526.72184366]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-81692.86556534]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-79897.11969957]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-78869.57242003]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-89042.13766095]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-90090.59501296]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-90333.18882048]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-87750.92714677]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-86866.82212496]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-86812.50540527]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-84170.31511277]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-83929.76356526]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-82643.83556252]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-82505.25391545]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-81854.7779411]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-78618.60479926]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-79291.68999321]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-79692.46288543]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-80926.84815876]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-78313.99562647]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-78377.17578009]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-80926.84815898]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-78313.99562663]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-78377.17578015]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-79923.84313877]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-84889.03514173]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-83344.0776436]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-82464.7406147]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-80648.80091511]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-77675.92820252]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-76971.47935416]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-77326.98454665]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-78907.43693653]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-77051.30602511]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-75525.99119857]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-76225.65047044]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-76033.05574952]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-79902.48301304]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-79140.51663362]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-78273.32263902]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-78854.11741138]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-79152.71597488]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-81987.13903088]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-82657.02271055]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-82237.65844349]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-82234.55651078]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-79846.43033194]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-79067.10419487]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-76716.00610199]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-78169.93785769]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-76696.89506502]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-77411.56108295]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-78980.77926935]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-75355.91414874]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-76403.95388184]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-76584.35407216]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-75712.37150926]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-75961.78784793]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-76299.04179088]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-75816.91631913]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-78677.23616174]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-78652.17697682]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-79126.56143573]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-79360.24054682]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-77014.95527174]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-76632.59903225]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-76950.49345327]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-77184.26624113]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-82694.2585262]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-82311.26023218]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-81906.39088575]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-82578.05462636]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-78210.22529765]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-77363.40942065]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-77981.05794965]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-76608.43953312]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-84689.24100287]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-85335.309893]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-85608.60618028]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-83877.49018357]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-78210.22529744]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-77363.40942058]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-77981.0579496]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-76608.43953324]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-77684.43637523]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-78098.18065414]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-79262.30042235]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-79778.92329213]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-79607.26094816]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-81008.82714194]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-79738.47214699]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-80346.28200689]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-81389.05922504]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-81603.6831422]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-80054.43732671]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-79850.30126656]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-80185.57394167]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-86177.27567153]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-84535.90018562]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-84886.26176784]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-84008.71317846]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-84567.04849296]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-87265.26089155]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-87153.83214747]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-85936.50840105]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-81596.22983516]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-80640.96425057]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-83979.4506133]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-85848.74098563]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-87867.75775386]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-92068.14928976]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-89471.5069643]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-90308.67493617]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-81414.34188172]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-82246.71305373]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-83180.89490654]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-85692.91310034]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-86072.42222547]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-86177.27567103]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-84535.90018559]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-84886.26176786]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-87118.62348052]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-85537.70493208]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/jourdon_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-76628.33007523]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-78260.97314094]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-78724.1889113]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-78455.21994029]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-77883.75846616]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-80441.29512273]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-80653.0697446]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-80301.54417389]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-77606.70743032]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-79054.41941216]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-78444.00531704]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-76988.13027601]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-78991.60903573]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-77879.98310088]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-78869.10124093]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-77813.20308434]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-77956.42320342]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-77944.4096955]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-77745.40283779]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-78987.38540608]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-79613.8889305]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-79790.3204532]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-80117.28926454]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-76628.33007518]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-78260.97314087]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-78724.18891116]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-78455.21994029]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-78544.63470645]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-81052.76973237]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-80950.41426933]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-80502.07832714]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-79439.63123797]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-80411.76884945]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-80603.10332096]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-80220.82881511]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-75969.85741838]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-76069.50719161]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-77124.22251917]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-76504.12980307]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-76632.7770304]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-78169.19191056]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-77538.12265783]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-76953.61517464]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-76985.30208332]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-78922.40701689]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-78786.39584202]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-79233.57608687]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-80747.64618903]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-78861.2605645]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-79713.71824157]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-78844.68160523]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-79174.54878273]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-79418.76865162]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-79316.25982937]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-78605.34305335]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-78341.07276042]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-78581.69798983]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-78976.05313951]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-77911.38300116]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-77524.30374288]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-77548.64263403]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-79085.09884939]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-77791.14134763]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-76799.60654333]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-78244.27335656]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-79316.25982954]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-78605.34305329]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-78341.07276043]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-78581.69798983]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-78805.50276823]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-78397.42306716]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-77663.74794021]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-78108.07543427]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-79834.00704138]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-79275.20300489]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-78954.03636074]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-79034.81937154]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-78343.88231733]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-77833.60261558]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-77327.35045067]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-77633.50591541]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-79032.59219193]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-79842.05121934]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-78796.49953611]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-79268.06320383]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-78061.81649118]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-77416.67195518]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-77020.39790683]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-77417.66175533]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-77187.71791499]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-78343.88231733]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-77833.6026155]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-77327.35045056]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-77633.50591552]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-78228.0282909]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-78015.32433797]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-77830.07584002]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-79465.99001178]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-79994.12148868]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-78509.50747857]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-78771.37891872]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-78504.48945746]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-78799.78509273]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-78371.16203659]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-79257.67018083]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-78888.10806003]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-78800.48122114]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-79984.46090804]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-82203.81950179]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-83043.04729364]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-82334.76745866]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-77591.03588224]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-77817.90844184]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-78090.93697823]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-77825.12519614]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-79176.89644561]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-77901.5289533]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-78462.03135816]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-79520.52710459]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-78715.553583]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-77442.01748402]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-79353.64853668]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-79267.22833621]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-78675.52952805]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-79198.61233363]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-78462.03135803]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-79520.52710474]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-78715.55358296]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-77169.70561965]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-78005.30984694]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-77815.19266028]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-77618.53857945]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-78896.64571195]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-79419.39633893]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-79474.10172242]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-79955.00987895]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-80015.01150754]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-80493.53299269]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-80491.80723298]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-77590.59166481]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-78671.33188795]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-79750.23015339]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-80644.27933133]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-81217.71378038]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-81736.68133829]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-79180.0344479]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-81650.96945262]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-81919.90684214]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-79574.22864513]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-84322.14083475]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-81515.85666497]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-80511.39324903]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-79582.96074241]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-81406.28702748]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-79476.54398579]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-79619.02514323]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-80616.19439723]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-81582.19547478]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-81159.06953384]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-81193.24556994]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-81624.95045438]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-81223.02218119]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-80136.3231729]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-79302.98806872]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-80075.02856507]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-80442.49939698]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-81639.77985352]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-78401.76269577]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-80453.42038908]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-80182.15418039]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-78120.76352877]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-78868.8816703]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-77231.29941029]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-77993.89269652]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-78788.21975543]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-79141.42196481]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-78851.99122148]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-79773.48118488]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-81167.02931211]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-81118.05966723]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-79773.48118487]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-81167.02931206]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-81118.05966735]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-79073.71279207]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-79791.07813254]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-79686.33979073]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-80199.09805887]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-78444.5132641]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-79770.94851166]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-80066.06947204]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-76850.24250256]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-77705.11605431]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-78109.65939698]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-77215.85422877]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-76704.29430746]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-77557.57950597]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-80563.93451809]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-77488.65530771]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-81571.70992259]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-79794.8745047]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-78817.37280786]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-88940.84786964]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-90038.65044647]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-90304.92674731]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-87599.70231317]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-86789.94405281]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-86734.14972101]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-84012.84682069]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-83755.45912781]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-82520.76505935]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-82414.0798377]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-81748.80416731]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-78538.28195095]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-79226.96160428]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-79624.71119981]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-80805.70387077]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-78226.60859102]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-78340.57966342]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-80805.70387098]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-78226.60859117]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-78340.57966349]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-79772.13934014]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-84810.50726684]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-83119.95301258]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-82365.80018489]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-80529.61319917]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-77572.81712837]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-76865.77395321]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-77253.26529605]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-78816.15628602]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-76956.85170131]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-75414.31998136]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-76172.48535758]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-75960.26348878]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-79824.05416298]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-79071.96056936]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-78234.64791326]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-78800.35914711]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-79121.16823821]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-81751.25210722]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-82411.44929196]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-81951.89464661]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-81999.24211787]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-79773.72748371]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-79007.65355015]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-76360.51034031]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-77892.71914354]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-76558.97825301]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-77289.75030158]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-78855.15819734]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-75266.73102894]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-76325.17350252]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-76435.55286002]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-75653.13673407]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-75910.15404388]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-76271.17188694]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-75797.35892358]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-78409.75038795]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-78214.07480232]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-78763.05001411]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-78737.6691007]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-76888.33225696]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-76578.4323605]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-76893.31107376]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-77143.10684272]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-82524.85806266]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-82185.62030683]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-81820.87617717]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-82498.02693349]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-78078.47294667]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-77308.61436837]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-77935.12113611]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-76562.16106133]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-84632.178075]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-85313.08008898]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-85567.65081557]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-83861.61294934]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-78078.47294648]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-77308.61436829]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-77935.12113608]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-76562.16106145]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-77563.58359306]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-77648.28565828]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-78830.74801866]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-79263.48536077]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-79519.97428166]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-80981.67707121]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-79670.07053152]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-80292.59983182]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-81326.73239024]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-81543.17059258]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-79962.86020259]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-79837.44609142]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-80172.59625103]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-86083.6249847]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-84481.177012]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-84869.86591232]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-83915.66856895]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-84515.00496836]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-87233.28982501]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-87105.1717609]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-85842.0926772]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-81481.0895545]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-80552.20493596]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-83870.74676172]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-85803.4851175]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-87846.00531305]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-91824.20198554]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-89364.55495875]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-90240.63195878]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-81309.83728935]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-82222.26633272]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-83153.67886957]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-85685.0628089]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-86020.15260426]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-86083.62498422]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-84481.17701199]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-84869.86591233]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-86982.31996491]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-85461.81192431]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/arti_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-135920.13916628]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-143330.07238475]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-142997.76786749]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-144512.04803639]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-147964.01167471]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-158054.46525338]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-158549.50266083]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-158264.50016733]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-139293.34948012]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-143651.77027016]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-141395.25260513]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-135240.26275209]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-135372.09449543]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-135014.06567308]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-137172.38454762]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-134781.98457609]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-133450.53477866]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-132923.08488343]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-132142.33662712]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-142038.22671281]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-143395.65625448]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-146932.44502325]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-145234.82243067]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-135920.13916535]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-143330.07238468]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-142997.76786754]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-144512.04803634]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-146474.6705759]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-151223.11373651]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-151233.93414218]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-150751.46104821]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-155391.33153282]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-157777.55052195]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-158344.09165]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-158325.72362918]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-132388.85829908]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-131856.67923461]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-135913.78461521]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-132740.63438168]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-132546.72492723]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-76620.94184048]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-76232.2475069]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-75275.97449593]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-75716.18391708]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-119651.80442265]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-122646.09389613]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-123356.1926772]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-125124.79839696]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-123348.59007327]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-125032.5818729]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-124475.29436723]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-124630.6918491]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-124274.42281814]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-87282.45674188]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-85348.23013229]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-85159.78768369]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-86031.68641184]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-79894.86618068]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-78477.36093023]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-77689.43581696]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-78185.47573321]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-78446.10048843]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-78208.23573402]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-77290.84562244]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-78504.50721653]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-87282.4567417]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-85348.23013226]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-85159.78768389]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-86031.68641184]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-145696.54004575]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-145401.41789151]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-143257.62253816]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-146186.24448639]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-150628.61932884]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-147708.76393662]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-147196.9166375]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-148837.55555689]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-135739.12016418]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-136457.1216359]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-136462.89380639]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-136334.33476553]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-146212.59836976]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-149305.9641717]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-145471.72824689]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-148611.62561419]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-137836.54671334]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-137152.5117958]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-136390.78773034]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-137721.57878578]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-135061.21575776]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-135739.12016425]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-136457.12163556]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-136462.89380627]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-136334.3347654]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-140899.33717219]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-142706.23812973]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-141687.83249227]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-132266.08523196]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-133769.25007879]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-131802.77005651]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-132357.30187893]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-84635.32948572]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-85048.81143618]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-84972.84319025]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-84459.75056696]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-84334.705575]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-85070.08798658]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-85698.50938081]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-88351.70208309]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-89126.61058347]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-88404.71953787]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-84215.76667129]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-85972.31464162]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-84310.61300383]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-81716.06948191]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-82914.46923705]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-81624.67603936]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-83425.37822808]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-85332.75196541]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-83749.86591715]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-82741.61310305]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-84991.40786686]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-85591.03601955]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-84227.38688274]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-83918.34452914]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-83425.37822811]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-85332.75196543]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-83749.86591713]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-83905.94246458]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-85531.23211248]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-84904.93380532]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-84910.7895587]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-82441.96100794]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-84238.89821006]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-83242.22397136]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-85321.57905182]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-85184.31641513]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-87186.04535614]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-85416.56018773]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-82848.35505587]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-84273.49301997]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-83929.96341432]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-83474.90164192]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-82785.31960251]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-86846.13911702]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-87116.51121222]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-86664.6528882]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-88608.67131915]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-88425.95717763]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-88150.80865577]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-91205.94472947]\n",
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-89168.34807116]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-88947.41627169]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-89667.44078708]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-88311.3599786]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-89891.05687636]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-89703.43594342]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-91051.88638645]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-90427.98110512]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-90406.5952354]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-91070.89446357]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-89058.36983827]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-89259.81012711]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-90537.76133199]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-89817.40356831]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-90008.66245236]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-90005.38641758]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-140020.23865819]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-144773.51123507]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-142126.55737348]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-127096.75479118]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-129370.11489975]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-126407.14395583]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-128092.22417311]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-131949.80383871]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-133500.48104589]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-132964.413384]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-137539.11096116]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-143092.55201193]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-144485.61296403]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-137539.11096188]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-143092.5520126]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-144485.61296421]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-139257.47349697]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-152672.47529913]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-153312.82218326]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-152907.81120366]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-146547.98714552]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-153137.9295707]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-152295.80240627]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-128541.18313511]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-127784.18281908]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-128267.7275912]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-129540.03808037]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-127400.95853566]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-131054.78004126]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-79292.93578368]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-79613.22074838]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-80812.62857997]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-80451.44975126]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-78826.31367378]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-82403.58490003]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-84001.93717152]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-84090.64278955]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-80576.73866976]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-80676.86553372]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-81275.36880977]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-76709.76221449]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-79149.77203152]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-79773.90348371]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-80594.62607783]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-75616.02432966]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-74755.13407041]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-75834.56177262]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-75434.82864322]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-78462.37317178]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-79892.57556801]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-80282.65369303]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-78462.37317187]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-79892.57556816]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-80282.65369293]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-77328.60506427]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-78817.70183087]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-79655.12842441]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-79717.64304096]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-74454.28623248]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-74552.33966245]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-76120.49777707]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-75592.38109982]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-74827.36457926]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-76749.55989576]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-74648.06179355]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-76156.70861918]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-76872.68823383]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-83247.68011462]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-83378.53275677]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-83338.07489996]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-81626.26218535]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-81945.73074029]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-82465.57359995]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-84918.52720585]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-84330.67721657]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-84576.79579184]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-85823.04043028]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-85408.13144333]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-80586.55197849]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-82205.1361039]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-81657.32475102]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-80768.86502639]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-83467.3471239]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-82155.77283418]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-83180.66929845]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-83690.9240392]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-82772.5447393]\n",
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-81760.6553031]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-83126.75824919]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-83535.35151037]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-87264.94902659]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-85933.66189024]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-87005.01202511]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-85697.28689792]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-82802.38977393]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-83831.88088671]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-83600.06280527]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-82447.09437193]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-85667.14433594]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-86482.32807952]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-85728.2539167]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-85412.99583916]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-83879.70870903]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-85490.39697521]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-84407.85677719]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-83755.65428307]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-88245.49391796]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-89664.44983525]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-88751.39674879]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-88244.18904803]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-83879.70870886]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-85490.39697501]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-84407.85677685]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-83755.65428327]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-85659.41808317]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-87148.89279376]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-86555.3285883]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-86117.2155422]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-85810.17380633]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-88220.2418223]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-86417.06394801]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-87611.28754145]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-87864.53791227]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-88044.07711905]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-71906.29437572]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-72496.48334636]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-72586.72206874]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-71414.99460692]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-71111.00503896]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-70726.53832519]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-69956.54751777]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-71374.89525427]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-71231.25062008]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-71360.79753451]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-74216.10298377]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-73571.33457856]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-72795.66479385]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-70941.46410348]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-71415.90512425]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-70714.37865433]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-77851.78216197]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-76339.54548094]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-76290.3886947]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-73463.10979558]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-72602.49111215]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-70751.33462087]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-71495.72541063]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-70595.99930924]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-71414.99460662]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-71111.0050389]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-70726.53832523]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-72183.44951639]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-72319.93921258]\n",
      "*****************************\n",
      "TESTING MODEL: /Users/siva/Documents/speaker_recognition/numpy_files/new_models_for_results/anne_new_10000.npy\n",
      "testing file: Jourdon_training_baseline_close.csv index 0-1500 likelihood: [-143558.83819693]\n",
      "testing file: Jourdon_training_baseline_close.csv index 1500-3000 likelihood: [-151893.30020342]\n",
      "testing file: Jourdon_training_baseline_close.csv index 3000-4500 likelihood: [-150288.68813821]\n",
      "testing file: Jourdon_training_baseline_close.csv index 4500-6000 likelihood: [-151633.6054005]\n",
      "testing file: Jourdon_training_baseline_close.csv index 6000-7500 likelihood: [-155498.82969284]\n",
      "testing file: Jourdon_training_baseline_close.csv index 7500-9000 likelihood: [-169764.68691752]\n",
      "testing file: Jourdon_training_baseline_close.csv index 9000-10500 likelihood: [-170405.19098288]\n",
      "testing file: Jourdon_training_baseline_close.csv index 10500-12000 likelihood: [-169537.1510453]\n",
      "testing file: rapid_speech_jourdan.csv index 0-1500 likelihood: [-146313.15675712]\n",
      "testing file: rapid_speech_jourdan.csv index 1500-3000 likelihood: [-153337.51380331]\n",
      "testing file: rapid_speech_jourdan.csv index 3000-4500 likelihood: [-149205.23713465]\n",
      "testing file: distant_speech_jourdan.csv index 0-1500 likelihood: [-142013.56366017]\n",
      "testing file: distant_speech_jourdan.csv index 1500-3000 likelihood: [-144750.04741937]\n",
      "testing file: distant_speech_jourdan.csv index 3000-4500 likelihood: [-141472.85229493]\n",
      "testing file: distant_speech_jourdan.csv index 4500-6000 likelihood: [-144672.83845513]\n",
      "testing file: soft_speech_jourdan.csv index 0-1500 likelihood: [-142216.814112]\n",
      "testing file: soft_speech_jourdan.csv index 1500-3000 likelihood: [-139044.70853376]\n",
      "testing file: soft_speech_jourdan.csv index 3000-4500 likelihood: [-138505.28744286]\n",
      "testing file: soft_speech_jourdan.csv index 4500-6000 likelihood: [-137768.057507]\n",
      "testing file: high_pitched_speech_jourdan.csv index 0-1500 likelihood: [-151051.46313221]\n",
      "testing file: high_pitched_speech_jourdan.csv index 1500-3000 likelihood: [-152194.31000091]\n",
      "testing file: high_pitched_speech_jourdan.csv index 3000-4500 likelihood: [-156435.59372224]\n",
      "testing file: high_pitched_speech_jourdan.csv index 4500-6000 likelihood: [-154436.99999173]\n",
      "testing file: baseline_jourdan copy.csv index 0-1500 likelihood: [-143558.8381959]\n",
      "testing file: baseline_jourdan copy.csv index 1500-3000 likelihood: [-151893.3002031]\n",
      "testing file: baseline_jourdan copy.csv index 3000-4500 likelihood: [-150288.68813815]\n",
      "testing file: baseline_jourdan copy.csv index 4500-6000 likelihood: [-151633.60540057]\n",
      "testing file: loud_speech_jourdan.csv index 0-1500 likelihood: [-156575.62177424]\n",
      "testing file: loud_speech_jourdan.csv index 1500-3000 likelihood: [-163567.09428883]\n",
      "testing file: loud_speech_jourdan.csv index 3000-4500 likelihood: [-162423.77525493]\n",
      "testing file: loud_speech_jourdan.csv index 4500-6000 likelihood: [-161162.4314385]\n",
      "testing file: close_speech_jourdan.csv index 0-1500 likelihood: [-165435.96588124]\n",
      "testing file: close_speech_jourdan.csv index 1500-3000 likelihood: [-169619.28875733]\n",
      "testing file: close_speech_jourdan.csv index 3000-4500 likelihood: [-169846.47730508]\n",
      "testing file: close_speech_jourdan.csv index 4500-6000 likelihood: [-169245.16099049]\n",
      "testing file: slow_speech_jourdan.csv index 0-1500 likelihood: [-138105.28198178]\n",
      "testing file: slow_speech_jourdan.csv index 1500-3000 likelihood: [-136656.03657099]\n",
      "testing file: slow_speech_jourdan.csv index 3000-4500 likelihood: [-141551.01386151]\n",
      "testing file: slow_speech_jourdan.csv index 4500-6000 likelihood: [-137508.58723446]\n",
      "testing file: slow_speech_jourdan.csv index 6000-7500 likelihood: [-135795.13643058]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 0-1500 likelihood: [-76523.67061329]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 1500-3000 likelihood: [-75659.48081754]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 3000-4500 likelihood: [-75073.56188706]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Distant_Speech_(Cindy).csv index 4500-6000 likelihood: [-75616.70387662]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 0-1500 likelihood: [-129934.27667432]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 1500-3000 likelihood: [-130821.54405029]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Rapid_(Cindy).csv index 3000-4500 likelihood: [-134305.98929064]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 0-1500 likelihood: [-135849.29945162]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 1500-3000 likelihood: [-132431.38654758]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 3000-4500 likelihood: [-134990.517049]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 4500-6000 likelihood: [-133883.51993652]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 6000-7500 likelihood: [-134057.95419999]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Slow_(Cindy)_.csv index 7500-9000 likelihood: [-133536.67230501]\n",
      "testing file: Cindy_training_baseline_close.csv index 0-1500 likelihood: [-78292.74167683]\n",
      "testing file: Cindy_training_baseline_close.csv index 1500-3000 likelihood: [-76623.56333617]\n",
      "testing file: Cindy_training_baseline_close.csv index 3000-4500 likelihood: [-75938.10695228]\n",
      "testing file: Cindy_training_baseline_close.csv index 4500-6000 likelihood: [-76491.02326779]\n",
      "testing file: Cindy_training_baseline_close.csv index 6000-7500 likelihood: [-77826.39523845]\n",
      "testing file: Cindy_training_baseline_close.csv index 7500-9000 likelihood: [-77245.37334141]\n",
      "testing file: Cindy_training_baseline_close.csv index 9000-10500 likelihood: [-76899.92185606]\n",
      "testing file: Cindy_training_baseline_close.csv index 10500-12000 likelihood: [-76953.9315987]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 0-1500 likelihood: [-78381.0541572]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 1500-3000 likelihood: [-77173.87928707]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 3000-4500 likelihood: [-76235.13578839]\n",
      "testing file: AMP_Lab_Voice_Characteristic_Audio_Samples-Close_Speech_(Cindy).csv index 4500-6000 likelihood: [-77906.39923174]\n",
      "testing file: Baseline_(Cindy).csv index 0-1500 likelihood: [-78292.74167678]\n",
      "testing file: Baseline_(Cindy).csv index 1500-3000 likelihood: [-76623.5633361]\n",
      "testing file: Baseline_(Cindy).csv index 3000-4500 likelihood: [-75938.10695235]\n",
      "testing file: Baseline_(Cindy).csv index 4500-6000 likelihood: [-76491.02326793]\n",
      "testing file: Samarth_loud.csv index 0-1500 likelihood: [-148825.78735575]\n",
      "testing file: Samarth_loud.csv index 1500-3000 likelihood: [-149227.42010529]\n",
      "testing file: Samarth_loud.csv index 3000-4500 likelihood: [-147783.77300357]\n",
      "testing file: Samarth_loud.csv index 4500-6000 likelihood: [-149984.97741282]\n",
      "testing file: Samarth_close.csv index 0-1500 likelihood: [-155087.83277539]\n",
      "testing file: Samarth_close.csv index 1500-3000 likelihood: [-153589.21137561]\n",
      "testing file: Samarth_close.csv index 3000-4500 likelihood: [-152038.50565134]\n",
      "testing file: Samarth_close.csv index 4500-6000 likelihood: [-151802.08399469]\n",
      "testing file: Samarth_training_soft_close.csv index 0-1500 likelihood: [-137721.03517788]\n",
      "testing file: Samarth_training_soft_close.csv index 1500-3000 likelihood: [-139884.78633349]\n",
      "testing file: Samarth_training_soft_close.csv index 3000-4500 likelihood: [-139283.83600257]\n",
      "testing file: Samarth_training_soft_close.csv index 4500-6000 likelihood: [-137753.64704695]\n",
      "testing file: Samarth_training_soft_close.csv index 6000-7500 likelihood: [-149956.65230486]\n",
      "testing file: Samarth_training_soft_close.csv index 7500-9000 likelihood: [-155241.3481119]\n",
      "testing file: Samarth_training_soft_close.csv index 9000-10500 likelihood: [-150312.71923078]\n",
      "testing file: Samarth_training_soft_close.csv index 10500-12000 likelihood: [-152489.74567204]\n",
      "testing file: Samarth_slow.csv index 0-1500 likelihood: [-140008.46847273]\n",
      "testing file: Samarth_slow.csv index 1500-3000 likelihood: [-138866.17819632]\n",
      "testing file: Samarth_slow.csv index 3000-4500 likelihood: [-137253.72689965]\n",
      "testing file: Samarth_slow.csv index 4500-6000 likelihood: [-139726.6012489]\n",
      "testing file: Samarth_slow.csv index 6000-7500 likelihood: [-136633.04259105]\n",
      "testing file: Samarth_soft.csv index 0-1500 likelihood: [-137721.03517783]\n",
      "testing file: Samarth_soft.csv index 1500-3000 likelihood: [-139884.78633286]\n",
      "testing file: Samarth_soft.csv index 3000-4500 likelihood: [-139283.83600239]\n",
      "testing file: Samarth_soft.csv index 4500-6000 likelihood: [-137753.64704697]\n",
      "testing file: Samarth_rapid.csv index 0-1500 likelihood: [-143774.35098598]\n",
      "testing file: Samarth_rapid.csv index 1500-3000 likelihood: [-145763.66325278]\n",
      "testing file: Samarth_rapid.csv index 3000-4500 likelihood: [-143580.33944063]\n",
      "testing file: Samarth_distance.csv index 0-1500 likelihood: [-137254.26729613]\n",
      "testing file: Samarth_distance.csv index 1500-3000 likelihood: [-141451.0523539]\n",
      "testing file: Samarth_distance.csv index 3000-4500 likelihood: [-137871.36918436]\n",
      "testing file: Samarth_distance.csv index 4500-6000 likelihood: [-137929.05585172]\n",
      "testing file: Anne_crying.csv index 0-1500 likelihood: [-73783.17488472]\n",
      "testing file: Anne_crying.csv index 1500-3000 likelihood: [-73422.86478332]\n",
      "testing file: Anne_crying.csv index 3000-4500 likelihood: [-73384.61643274]\n",
      "testing file: Anne_crying.csv index 4500-6000 likelihood: [-75166.89190011]\n",
      "testing file: Anne_distant_.csv index 0-1500 likelihood: [-74746.99261302]\n",
      "testing file: Anne_distant_.csv index 1500-3000 likelihood: [-74559.20958341]\n",
      "testing file: Anne_distant_.csv index 3000-4500 likelihood: [-75220.68371904]\n",
      "testing file: Anne_high_pitched.csv index 0-1500 likelihood: [-76740.90113609]\n",
      "testing file: Anne_high_pitched.csv index 1500-3000 likelihood: [-76204.09346666]\n",
      "testing file: Anne_high_pitched.csv index 3000-4500 likelihood: [-76492.00739924]\n",
      "testing file: Anne_close.csv index 0-1500 likelihood: [-73078.27190881]\n",
      "testing file: Anne_close.csv index 1500-3000 likelihood: [-73048.48126926]\n",
      "testing file: Anne_close.csv index 3000-4500 likelihood: [-72865.66190597]\n",
      "testing file: Anne_soft.csv index 0-1500 likelihood: [-71580.69269959]\n",
      "testing file: Anne_soft.csv index 1500-3000 likelihood: [-71500.15909802]\n",
      "testing file: Anne_soft.csv index 3000-4500 likelihood: [-71488.68379304]\n",
      "testing file: Anne_baseline.csv index 0-1500 likelihood: [-71681.44137251]\n",
      "testing file: Anne_baseline.csv index 1500-3000 likelihood: [-71217.25909301]\n",
      "testing file: Anne_baseline.csv index 3000-4500 likelihood: [-70831.55388491]\n",
      "testing file: Anne_slow.csv index 0-1500 likelihood: [-70683.32817536]\n",
      "testing file: Anne_slow.csv index 1500-3000 likelihood: [-71733.39199445]\n",
      "testing file: Anne_slow.csv index 3000-4500 likelihood: [-70850.5974567]\n",
      "testing file: Anne_slow.csv index 4500-6000 likelihood: [-71092.75090606]\n",
      "testing file: Anne_slow.csv index 6000-7500 likelihood: [-71225.4438556]\n",
      "testing file: Anne_training_baseline_close.csv index 0-1500 likelihood: [-71681.44137253]\n",
      "testing file: Anne_training_baseline_close.csv index 1500-3000 likelihood: [-71217.25909308]\n",
      "testing file: Anne_training_baseline_close.csv index 3000-4500 likelihood: [-70831.55388488]\n",
      "testing file: Anne_training_baseline_close.csv index 4500-6000 likelihood: [-70990.11427392]\n",
      "testing file: Anne_training_baseline_close.csv index 6000-7500 likelihood: [-73487.5842605]\n",
      "testing file: Anne_training_baseline_close.csv index 7500-9000 likelihood: [-72734.51298757]\n",
      "testing file: Anne_training_baseline_close.csv index 9000-10500 likelihood: [-72816.09477979]\n",
      "testing file: Anne_low_pitched.csv index 0-1500 likelihood: [-72760.330769]\n",
      "testing file: Anne_low_pitched.csv index 1500-3000 likelihood: [-72461.40874045]\n",
      "testing file: Anne_low_pitched.csv index 3000-4500 likelihood: [-72445.09390609]\n",
      "testing file: Anne_low_pitched.csv index 4500-6000 likelihood: [-72668.0946834]\n",
      "testing file: Anne_loud.csv index 0-1500 likelihood: [-74791.89065035]\n",
      "testing file: Anne_loud.csv index 1500-3000 likelihood: [-74674.78353172]\n",
      "testing file: Anne_loud.csv index 3000-4500 likelihood: [-73915.9859171]\n",
      "testing file: Anne_rapid.csv index 0-1500 likelihood: [-71663.96037657]\n",
      "testing file: Anne_rapid.csv index 1500-3000 likelihood: [-72414.77353638]\n",
      "testing file: Anne_laughing.csv index 0-1500 likelihood: [-75751.99042488]\n",
      "testing file: Anne_laughing.csv index 1500-3000 likelihood: [-77297.30669436]\n",
      "testing file: Anne_laughing.csv index 3000-4500 likelihood: [-77068.3745852]\n",
      "testing file: EW_angry.csv index 0-1500 likelihood: [-81666.29925851]\n",
      "testing file: EW_quietly_concerned.csv index 0-1500 likelihood: [-77768.05894019]\n",
      "testing file: EW_exclamatory.csv index 0-1500 likelihood: [-79973.25096728]\n",
      "testing file: EW_nervous.csv index 0-1500 likelihood: [-80855.94035902]\n",
      "testing file: EW_sad.csv index 0-1500 likelihood: [-77272.33515303]\n",
      "testing file: EW_happy.csv index 0-1500 likelihood: [-83002.20927398]\n",
      "testing file: EW_2_min_sample_1.csv index 0-1500 likelihood: [-79479.90210673]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: EW_2_min_sample_1.csv index 1500-3000 likelihood: [-80649.19987832]\n",
      "testing file: EW_2_min_sample_1.csv index 3000-4500 likelihood: [-78518.73732367]\n",
      "testing file: EW_2_min_sample_1.csv index 4500-6000 likelihood: [-79931.22088625]\n",
      "testing file: EW_2_min_sample_1.csv index 6000-7500 likelihood: [-78980.47207128]\n",
      "testing file: EW_2_min_sample_1.csv index 7500-9000 likelihood: [-79042.91307302]\n",
      "testing file: EW_2_min_sample_1.csv index 9000-10500 likelihood: [-78747.56793844]\n",
      "testing file: EW_2_min_sample_1.csv index 10500-12000 likelihood: [-79879.22399497]\n",
      "testing file: EW_2_min_sample_2.csv index 0-1500 likelihood: [-80133.58866574]\n",
      "testing file: EW_2_min_sample_2.csv index 1500-3000 likelihood: [-80121.09981488]\n",
      "testing file: EW_2_min_sample_2.csv index 3000-4500 likelihood: [-81042.71287343]\n",
      "testing file: EW_2_min_sample_2.csv index 4500-6000 likelihood: [-79598.19877141]\n",
      "testing file: EW_2_min_sample_2.csv index 6000-7500 likelihood: [-80055.46954599]\n",
      "testing file: EW_2_min_sample_2.csv index 7500-9000 likelihood: [-79234.70876891]\n",
      "testing file: EW_2_min_sample_2.csv index 9000-10500 likelihood: [-78919.564817]\n",
      "testing file: EW_2_min_sample_2.csv index 10500-12000 likelihood: [-79423.67616814]\n",
      "testing file: EW_2_min_sample_2.csv index 12000-13500 likelihood: [-81661.15332561]\n",
      "testing file: Rapid_speech_(Kara).csv index 0-1500 likelihood: [-150764.14498691]\n",
      "testing file: Rapid_speech_(Kara).csv index 1500-3000 likelihood: [-156569.27711795]\n",
      "testing file: Rapid_speech_(Kara).csv index 3000-4500 likelihood: [-153248.20873946]\n",
      "testing file: Soft_speech_(Kara).csv index 0-1500 likelihood: [-135064.74666545]\n",
      "testing file: Soft_speech_(Kara).csv index 1500-3000 likelihood: [-136521.25881057]\n",
      "testing file: Soft_speech_(Kara).csv index 3000-4500 likelihood: [-132583.79731488]\n",
      "testing file: Soft_speech_(Kara).csv index 4500-6000 likelihood: [-137572.78167122]\n",
      "testing file: Distant_speech_(Kara).csv index 0-1500 likelihood: [-142544.61783617]\n",
      "testing file: Distant_speech_(Kara).csv index 1500-3000 likelihood: [-145126.21250637]\n",
      "testing file: Distant_speech_(Kara).csv index 3000-4500 likelihood: [-144224.03097638]\n",
      "testing file: Baseline_(Kara).csv index 0-1500 likelihood: [-150132.2980651]\n",
      "testing file: Baseline_(Kara).csv index 1500-3000 likelihood: [-156756.71796522]\n",
      "testing file: Baseline_(Kara).csv index 3000-4500 likelihood: [-158761.92266613]\n",
      "testing file: Kara_training_baseline_close.csv index 0-1500 likelihood: [-150132.29806591]\n",
      "testing file: Kara_training_baseline_close.csv index 1500-3000 likelihood: [-156756.71796621]\n",
      "testing file: Kara_training_baseline_close.csv index 3000-4500 likelihood: [-158761.92266642]\n",
      "testing file: Kara_training_baseline_close.csv index 4500-6000 likelihood: [-149774.4712909]\n",
      "testing file: Kara_training_baseline_close.csv index 6000-7500 likelihood: [-166717.23441114]\n",
      "testing file: Kara_training_baseline_close.csv index 7500-9000 likelihood: [-166160.97378897]\n",
      "testing file: Kara_training_baseline_close.csv index 9000-10500 likelihood: [-165379.07165688]\n",
      "testing file: Close_speech_(Kara).csv index 0-1500 likelihood: [-157706.98750554]\n",
      "testing file: Close_speech_(Kara).csv index 1500-3000 likelihood: [-166131.88272222]\n",
      "testing file: Close_speech_(Kara).csv index 3000-4500 likelihood: [-164662.44313391]\n",
      "testing file: Slow_speech_(Kara).csv index 0-1500 likelihood: [-134398.81371693]\n",
      "testing file: Slow_speech_(Kara).csv index 1500-3000 likelihood: [-133406.17832103]\n",
      "testing file: Slow_speech_(Kara).csv index 3000-4500 likelihood: [-134572.33798118]\n",
      "testing file: Slow_speech_(Kara).csv index 4500-6000 likelihood: [-137373.92741842]\n",
      "testing file: Slow_speech_(Kara).csv index 6000-7500 likelihood: [-134013.98508954]\n",
      "testing file: Slow_speech_(Kara).csv index 7500-9000 likelihood: [-139901.63346621]\n",
      "testing file: rapid_LB.csv index 0-1500 likelihood: [-83381.38787459]\n",
      "testing file: rapid_LB.csv index 1500-3000 likelihood: [-79883.4905319]\n",
      "testing file: low_pitch_LB.csv index 0-1500 likelihood: [-82147.9496014]\n",
      "testing file: low_pitch_LB.csv index 1500-3000 likelihood: [-80957.5957614]\n",
      "testing file: low_pitch_LB.csv index 3000-4500 likelihood: [-79721.09445384]\n",
      "testing file: loud_LB.csv index 0-1500 likelihood: [-87832.22338268]\n",
      "testing file: loud_LB.csv index 1500-3000 likelihood: [-88903.2723898]\n",
      "testing file: loud_LB.csv index 3000-4500 likelihood: [-88746.06625863]\n",
      "testing file: laughing_LB.csv index 0-1500 likelihood: [-87854.60276911]\n",
      "testing file: laughing_LB.csv index 1500-3000 likelihood: [-86278.96650207]\n",
      "testing file: laughing_LB.csv index 3000-4500 likelihood: [-86640.44251383]\n",
      "testing file: close_LB.csv index 0-1500 likelihood: [-83029.79234366]\n",
      "testing file: close_LB.csv index 1500-3000 likelihood: [-83210.08127001]\n",
      "testing file: close_LB.csv index 3000-4500 likelihood: [-82942.94055081]\n",
      "testing file: close_LB.csv index 4500-6000 likelihood: [-82598.9450319]\n",
      "testing file: distant_LB.csv index 0-1500 likelihood: [-78763.47920163]\n",
      "testing file: distant_LB.csv index 1500-3000 likelihood: [-77145.86430039]\n",
      "testing file: distant_LB.csv index 3000-4500 likelihood: [-77144.835821]\n",
      "testing file: distant_LB.csv index 4500-6000 likelihood: [-77600.22208533]\n",
      "testing file: baseline_LB.csv index 0-1500 likelihood: [-83229.51954909]\n",
      "testing file: baseline_LB.csv index 1500-3000 likelihood: [-81777.74302624]\n",
      "testing file: baseline_LB.csv index 3000-4500 likelihood: [-82199.03040593]\n",
      "testing file: Lin_training_baseline_close.csv index 0-1500 likelihood: [-83229.51954924]\n",
      "testing file: Lin_training_baseline_close.csv index 1500-3000 likelihood: [-81777.74302633]\n",
      "testing file: Lin_training_baseline_close.csv index 3000-4500 likelihood: [-82199.03040615]\n",
      "testing file: Lin_training_baseline_close.csv index 4500-6000 likelihood: [-81484.42630089]\n",
      "testing file: Lin_training_baseline_close.csv index 6000-7500 likelihood: [-83935.45723853]\n",
      "testing file: Lin_training_baseline_close.csv index 7500-9000 likelihood: [-83332.78775298]\n",
      "testing file: Lin_training_baseline_close.csv index 9000-10500 likelihood: [-82198.64069138]\n",
      "testing file: soft_LB.csv index 0-1500 likelihood: [-79241.60012672]\n",
      "testing file: soft_LB.csv index 1500-3000 likelihood: [-78085.66054934]\n",
      "testing file: soft_LB.csv index 3000-4500 likelihood: [-78301.50250875]\n",
      "testing file: soft_LB.csv index 4500-6000 likelihood: [-78625.40668538]\n",
      "testing file: slow_LB.csv index 0-1500 likelihood: [-80209.34518086]\n",
      "testing file: slow_LB.csv index 1500-3000 likelihood: [-78912.60065247]\n",
      "testing file: slow_LB.csv index 3000-4500 likelihood: [-77511.40984703]\n",
      "testing file: slow_LB.csv index 4500-6000 likelihood: [-77922.76396932]\n",
      "testing file: slow_LB.csv index 6000-7500 likelihood: [-78280.54430116]\n",
      "testing file: Laughing_Mariah.csv index 0-1500 likelihood: [-78407.93151535]\n",
      "testing file: Laughing_Mariah.csv index 1500-3000 likelihood: [-77800.08506162]\n",
      "testing file: Laughing_Mariah.csv index 3000-4500 likelihood: [-77188.59105944]\n",
      "testing file: Laughing_Mariah.csv index 4500-6000 likelihood: [-77245.39836181]\n",
      "testing file: Laughing_Mariah.csv index 6000-7500 likelihood: [-77428.92568191]\n",
      "testing file: HighPitch_Mariah.csv index 0-1500 likelihood: [-78709.55205388]\n",
      "testing file: HighPitch_Mariah.csv index 1500-3000 likelihood: [-79283.43039051]\n",
      "testing file: HighPitch_Mariah.csv index 3000-4500 likelihood: [-78231.42856192]\n",
      "testing file: HighPitch_Mariah.csv index 4500-6000 likelihood: [-78830.10324993]\n",
      "testing file: Rapid_Mariah.csv index 0-1500 likelihood: [-77586.7383227]\n",
      "testing file: Rapid_Mariah.csv index 1500-3000 likelihood: [-76339.45255464]\n",
      "testing file: Soft_Mariah.csv index 0-1500 likelihood: [-76473.56694685]\n",
      "testing file: Soft_Mariah.csv index 1500-3000 likelihood: [-76988.22359147]\n",
      "testing file: Soft_Mariah.csv index 3000-4500 likelihood: [-76241.47055147]\n",
      "testing file: Soft_Mariah.csv index 4500-6000 likelihood: [-76465.90411096]\n",
      "testing file: Slow_Mariah.csv index 0-1500 likelihood: [-77409.43550795]\n",
      "testing file: Slow_Mariah.csv index 1500-3000 likelihood: [-74827.25161181]\n",
      "testing file: Slow_Mariah.csv index 3000-4500 likelihood: [-75468.63545158]\n",
      "testing file: Slow_Mariah.csv index 4500-6000 likelihood: [-75488.11651754]\n",
      "testing file: Slow_Mariah.csv index 6000-7500 likelihood: [-74984.24461286]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing file: Slow_Mariah.csv index 7500-9000 likelihood: [-74625.939675]\n",
      "testing file: Slow_Mariah.csv index 9000-10500 likelihood: [-73899.92291916]\n",
      "testing file: Slow_Mariah.csv index 10500-12000 likelihood: [-74217.90200664]\n",
      "testing file: CloseSpeech_Mariah.csv index 0-1500 likelihood: [-76703.35366339]\n",
      "testing file: CloseSpeech_Mariah.csv index 1500-3000 likelihood: [-76736.13302837]\n",
      "testing file: CloseSpeech_Mariah.csv index 3000-4500 likelihood: [-76851.42832318]\n",
      "testing file: CloseSpeech_Mariah.csv index 4500-6000 likelihood: [-76901.31634103]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 0-1500 likelihood: [-75422.29245945]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 1500-3000 likelihood: [-75026.21420273]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 3000-4500 likelihood: [-74911.18698838]\n",
      "testing file: LowPitch_Vocalfry_Mariah.csv index 4500-6000 likelihood: [-74960.04769876]\n",
      "testing file: DistanceSpeech_Mariah.csv index 0-1500 likelihood: [-78726.47156179]\n",
      "testing file: DistanceSpeech_Mariah.csv index 1500-3000 likelihood: [-78666.9674299]\n",
      "testing file: DistanceSpeech_Mariah.csv index 3000-4500 likelihood: [-78109.06483664]\n",
      "testing file: DistanceSpeech_Mariah.csv index 4500-6000 likelihood: [-78182.05133368]\n",
      "testing file: Baseline_Mariah.csv index 0-1500 likelihood: [-76276.23611846]\n",
      "testing file: Baseline_Mariah.csv index 1500-3000 likelihood: [-75649.42879153]\n",
      "testing file: Baseline_Mariah.csv index 3000-4500 likelihood: [-76090.54233329]\n",
      "testing file: Baseline_Mariah.csv index 4500-6000 likelihood: [-74906.94050997]\n",
      "testing file: Loud_Mariah.csv index 0-1500 likelihood: [-79965.42963228]\n",
      "testing file: Loud_Mariah.csv index 1500-3000 likelihood: [-79397.83795042]\n",
      "testing file: Loud_Mariah.csv index 3000-4500 likelihood: [-79582.30285576]\n",
      "testing file: Loud_Mariah.csv index 4500-6000 likelihood: [-78903.38123288]\n",
      "testing file: Mariah_training_baseline_close.csv index 0-1500 likelihood: [-76276.23611847]\n",
      "testing file: Mariah_training_baseline_close.csv index 1500-3000 likelihood: [-75649.42879153]\n",
      "testing file: Mariah_training_baseline_close.csv index 3000-4500 likelihood: [-76090.54233354]\n",
      "testing file: Mariah_training_baseline_close.csv index 4500-6000 likelihood: [-74906.94050993]\n",
      "testing file: Mariah_training_baseline_close.csv index 6000-7500 likelihood: [-75548.09463004]\n",
      "testing file: Mariah_training_baseline_close.csv index 7500-9000 likelihood: [-76771.61954148]\n",
      "testing file: Mariah_training_baseline_close.csv index 9000-10500 likelihood: [-77063.36644014]\n",
      "testing file: Mariah_training_baseline_close.csv index 10500-12000 likelihood: [-76935.82023911]\n",
      "testing file: Crying_Mariah.csv index 0-1500 likelihood: [-78331.56550611]\n",
      "testing file: Crying_Mariah.csv index 1500-3000 likelihood: [-80019.84346687]\n",
      "testing file: Crying_Mariah.csv index 3000-4500 likelihood: [-79173.96891957]\n",
      "testing file: Crying_Mariah.csv index 4500-6000 likelihood: [-79431.02623039]\n",
      "testing file: Crying_Mariah.csv index 6000-7500 likelihood: [-80049.94474471]\n",
      "testing file: Crying_Mariah.csv index 7500-9000 likelihood: [-79980.25393662]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 0-1500 likelihood: [-78119.1320131]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 1500-3000 likelihood: [-77478.07336397]\n",
      "testing file: Soft_AG_Mar_01,_196842.csv index 3000-4500 likelihood: [-77461.48375582]\n",
      "testing file: Arti_training_baseline_close.csv index 0-1500 likelihood: [-82382.98550995]\n",
      "testing file: Arti_training_baseline_close.csv index 1500-3000 likelihood: [-80855.58445509]\n",
      "testing file: Arti_training_baseline_close.csv index 3000-4500 likelihood: [-80450.67008897]\n",
      "testing file: Arti_training_baseline_close.csv index 4500-6000 likelihood: [-80090.09504808]\n",
      "testing file: Arti_training_baseline_close.csv index 6000-7500 likelihood: [-81272.23636189]\n",
      "testing file: Arti_training_baseline_close.csv index 7500-9000 likelihood: [-82760.8170807]\n",
      "testing file: Arti_training_baseline_close.csv index 9000-10500 likelihood: [-82161.24648926]\n",
      "testing file: distant_AG.csv index 0-1500 likelihood: [-79571.84110828]\n",
      "testing file: distant_AG.csv index 1500-3000 likelihood: [-76838.47837473]\n",
      "testing file: distant_AG.csv index 3000-4500 likelihood: [-75972.14972839]\n",
      "testing file: close_AG.csv index 0-1500 likelihood: [-81018.02104511]\n",
      "testing file: close_AG.csv index 1500-3000 likelihood: [-81983.92835054]\n",
      "testing file: close_AG.csv index 3000-4500 likelihood: [-82090.97584138]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 0-1500 likelihood: [-85880.20183383]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 1500-3000 likelihood: [-83838.31096511]\n",
      "testing file: Loud_AG_Mar_01,_845111.csv index 3000-4500 likelihood: [-84030.69814239]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 0-1500 likelihood: [-78434.95333526]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 1500-3000 likelihood: [-79663.24665646]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 3000-4500 likelihood: [-78870.5338413]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 4500-6000 likelihood: [-80253.93009268]\n",
      "testing file: slow_AG_Mar_01,_621548.csv index 6000-7500 likelihood: [-80870.7528392]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 0-1500 likelihood: [-82382.98550964]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 1500-3000 likelihood: [-80855.58445497]\n",
      "testing file: Baseline_AG_Mar_01,_689201.csv index 3000-4500 likelihood: [-80450.67008876]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 0-1500 likelihood: [-82726.86355803]\n",
      "testing file: rapid_AG_Mar_01,_559134.csv index 1500-3000 likelihood: [-81576.60284441]\n"
     ]
    }
   ],
   "source": [
    "testing_results = {\"model\":[],\"testing_file\":[],\"index1\":[],\"index2\":[],\"likelihood\":[]}\n",
    "for each_model in all_models:\n",
    "    map_model = load_map_model(each_model)\n",
    "    print(\"*****************************\")\n",
    "    print(\"TESTING MODEL:\",each_model)\n",
    "    for each_test_file in all_test_files:\n",
    "        test_file,len_ = load_csv_file(each_test_file)\n",
    "        no_of_splits = len_//NO_OF_DATAPOINTS\n",
    "        for i in range(0,no_of_splits):\n",
    "            likelihood = testing_model(map_model,test_file,i*NO_OF_DATAPOINTS,(i+1)*NO_OF_DATAPOINTS)\n",
    "            print(\"testing file:\",each_test_file.split(\"/\")[-1],\"index {0}-{1}\".format(i*NO_OF_DATAPOINTS,(i+1)*NO_OF_DATAPOINTS),\\\n",
    "                 \"likelihood:\",likelihood)\n",
    "            testing_results[\"model\"].append(each_model)\n",
    "            testing_results[\"testing_file\"].append(each_test_file)\n",
    "            testing_results[\"index1\"].append(i*NO_OF_DATAPOINTS)\n",
    "            testing_results[\"index2\"].append((i+1)*NO_OF_DATAPOINTS)\n",
    "            testing_results[\"likelihood\"].append(likelihood)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"DHI_testing_results.npy\",testing_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_confusion_matrix(results,model_name,file_name_strings,file_name_exceptions):\n",
    "    positive_likelihood_values = {}\n",
    "    negative_likelihood_values = {}\n",
    "    for model,file,likelihood in zip(results[\"model\"],results[\"testing_file\"],\\\n",
    "                                     results[\"likelihood\"]):\n",
    "        file_ = file.split(\"/\")[-1]\n",
    "        model_ = model.split(\"/\")[-1]\n",
    "        if model_ == model_name:\n",
    "            if check_name(file_name_strings,file_):\n",
    "                if not check_name(file_name_exceptions,file_):\n",
    "                    #print(file_)\n",
    "                    positive_likelihood_values[abs(likelihood[0])] = file_\n",
    "                #else:\n",
    "                    #print(file_)\n",
    "            else:\n",
    "                negative_likelihood_values[abs(likelihood[0])] = file_\n",
    "    mean = np.mean(list(positive_likelihood_values.keys()))\n",
    "    TP = sum(list(positive_likelihood_values.keys())<mean)\n",
    "    TN = sum(list(negative_likelihood_values.keys())>mean)\n",
    "    FP = sum(list(negative_likelihood_values.keys())<mean)\n",
    "    FN = sum(list(positive_likelihood_values.keys())>mean)\n",
    "    arr = [[TP,FP],[FN,TN]]\n",
    "    s = [[\"TP\",\"FP\"],[\"FN\",\"TN\"]]\n",
    "    plt.imshow(arr, interpolation='nearest', cmap=plt.cm.Wistia)\n",
    "    plt.colorbar()\n",
    "    for i in range(2):\n",
    "        for j in range(2):\n",
    "            plt.text(j,i, str(s[i][j])+\" = \"+str(arr[i][j]))\n",
    "    print(\"mean:\",mean,\"TP:\",TP,\"TN:\",TN,\"FP:\",FP,\"FN:\",FN,\"Accuracy:\",np.sum(np.diag(arr))/np.sum(arr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 74168.7048373 TP: 13 TN: 282 FP: 0 FN: 11 Accuracy: 0.964052287582\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111176e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"lin_new_10000.npy\",[\"LB\",\"Lin\"],[\"training\",\"baseline\",\"close\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 75031.3006428 TP: 21 TN: 259 FP: 4 FN: 20 Accuracy: 0.921052631579\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1096292e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"mariah_new_10000.npy\",[\"Mariah\"],[\"training\",\"Baseline\",\"Close\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 74610.5095023 TP: 9 TN: 297 FP: 0 FN: 6 Accuracy: 0.980769230769\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXuF2H1fJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1109d4588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"ew_new_10000.npy\",[\"EW\"],[\"sample_1\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 76969.941595 TP: 9 TN: 262 FP: 29 FN: 7 Accuracy: 0.882736156352\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/+gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ff947f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"kara_new_10000.npy\",[\"Kara\"],[\"Baseline\",\"Close\",\"training\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 116992.612935 TP: 4 TN: 101 FP: 190 FN: 9 Accuracy: 0.345394736842\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngU0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1085180b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"cindy_new_10000.npy\",[\"Cindy\"],[\"Baseline\",\"Close\",\"training\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 75047.9095684 TP: 8 TN: 288 FP: 0 FN: 8 Accuracy: 0.973684210526\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1111722b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"samarth_new_10000.npy\",[\"Samarth\"],[\"soft\",\"close\",\"training\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 78381.3612369 TP: 12 TN: 190 FP: 90 FN: 12 Accuracy: 0.664473684211\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZmYVyQHOzMwq0v8HObtJ4nFhmUEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110e4bc88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"jourdon_new_10000.npy\",[\"Jourdon\",\"jourdan\"],[\"baseline\",\"close\",\"training\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 73216.6479664 TP: 10 TN: 291 FP: 0 FN: 6 Accuracy: 0.980456026059\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxGlJPgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110a359b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"arti_new_10000.npy\",[\"AG\",\"Arti\"],[\"Baseline\",\"close\",\"training\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean: 73593.0159238 TP: 16 TN: 277 FP: 0 FN: 14 Accuracy: 0.954397394137\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAFkCAYAAABSNi7nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nDAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ffbdf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_confusion_matrix(testing_results,\"anne_new_10000.npy\",[\"Anne\"],[\"baseline\",\"close\",\"training\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}