clarified readme

README.md

@@ -1,10 +1,10 @@
 # WaveNetVA
 
-Feedforward WaveNet for black-box virtual analog modeling. This code is related to our SMC 2019 paper: https://link-to-pre.print
+Feedforward WaveNet for black-box virtual analog modeling. This code is related to our paper submitted to [SMC 2019](http://smc2019.uma.es/): https://link-to-pre.print
 
 A real-time implementation of the model built using JUCE. The code can be built as a standalone audio application or as an VST3, AU or AAX etc. plugin.
 
-Audio samples are available on the [demopage](http://research.spa.aalto.fi/publications/papers/smc19-black-box/).
+Audio samples are available on the [demo page](http://research.spa.aalto.fi/publications/papers/smc19-black-box/).
 
 ## Getting Started
 
@@ -14,17 +14,16 @@ Audio samples are available on the [demopage](http://research.spa.aalto.fi/publi
 * Download and install [JUCE](https://juce.com/)
   * The software has been tested with Juce version 5.4.2
 * Download [Eigen](http://eigen.tuxfamily.org)
-  * Extract the Eigen folder to your home directory.
+  * Extract Eigen somewhere, e.g. your home directory.
   * The software has been tested with Eigen version 3.3.7
 * Open WaveNetVA.jucer file with Projucer
-* Open and build project in XCode or Visual Studio.
+  * Add the Eigen folder to "Header Search Paths" in Exporters -> Debug/Release
+  * Open and build project in XCode or Visual Studio.
 
 ### Loading trained models
 
 The trained models are stored as json files. The pre-trained models of the Ibanez Tube Screamer, Boss DS-1 and Electro-Harmonix Big Muff Pi described in the paper are included in the [Models](Models) directory.
 
-Tensorflow code for training models and saving them to json files may be added later.
-
 ## License
 This project is licensed under the Apache License, Version 2.0 - see the [LICENSE](LICENSE) file for details.