Speech Models Website

About The Project

This project was created by a group of students from Ariel University in the course Deep Learning Methods for NLP & Speech Analysis. each pair of students had created a CNN model which can classify the audio.

Github

• https://github.com/Orya-s/DeepLearningSound
• https://github.com/DorAzaria/Voice-Emotion-Recognition
• https://github.com/ortrsa/Voice-Accent-classification
• https://github.com/shlomog12/Spoken_language_identification

Install

Dependencies

• Platform:
  • OS: Linux or Windows
  • Version: Python 3.7.4+
• Python modules:
  • Flask
  • numpy
  • pandas
  • torch
  • torchaudio
  • pydub
• 3rd party tools:
  • ffmpeg (used by pydub the windows and linux have different installtion)
• HTML:
  • Javascript
  • CSS
  • Bootstrap
  • AJAX

How To Use

Launch 'server.py' on root for relative paths to work.

Example Of Server running

Example Of Client Browser

In this example the user selects all the models and audio file to send to the server

Directory Structure

└── project/              # Project's root directory.
    ├── model/            # trained models and code to use them.
    ├── static/           # images and css of the HTML
    ├── templates/        # HTML of website.
    └── train_scripts/    # code of the model for training.