🎧🚀 Human Voice Extraction with Firebase Integration

Welcome to the Human Voice Extraction project! This tool processes audio files to extract human voice segments, adjust amplitudes, and store the results in Firebase for easy access.

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🎤 Features

• Upload & Process Audio Files – Easily upload your audio files and extract human voice content.
• Amplitude Adjustment – Automatically adjusts the amplitude of the extracted segments.
• Firebase Integration – Upload processed files to Firebase and download them effortlessly.
• User-Friendly Flask App – An intuitive web interface for handling audio files.

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🔧 How It Works

1. Audio Upload – Drag and drop or select an audio file.
2. Processing – Behind the scenes, we:
   • Split audio into segments.
   • Detect the maximum amplitude time.
   • Extract and normalize the human voice.
3. Firebase Magic – Save processed audio to Firebase for safekeeping and access.
4. Download – Grab your processed file and enjoy the results!

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🌐 Tech Stack

• Backend: Flask 🌟
• Audio Processing: pydub, librosa
• Storage: Firebase 🔐
• Python Modules: os, re, shutil, and more

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🔁 Setup Instructions

1️⃣ Clone this repository:

git clone https://github.com/yourusername/voice-extraction.git  
cd voice-extraction  

2️⃣ Install Dependencies:

Install the required Python libraries from the requirements.txt file:

pip install -r requirements.txt

3️⃣ Set up Firebase Credentials:

-Download your service account JSON file from Firebase. -Place it in the root directory. -Add this file to your '.gitignore' to keep it secure. Install the required Python libraries from the requirements.txt file:

pip install -r requirements.txt

4️⃣ Run the Flask App:

Start the Flask application:

python main.py

🎨 Future Enhancements

• Multi-language Voice Support 🌐
• Real-time Processing ⏳
• Advanced Filters for Noise Reduction 🔊

🎶 Fun Fact

"Your voice is like your fingerprint – unique and irreplaceable. This tool helps bring out the best in yours!" ✨