Park-HY-00 / Digital-signal-processing-2-Voice-recognition-classification

This project trains a computer program to identify the voice of the speaker. It was a part of the master's degree (Electronic Systems Engineering) at Heilbronn University of Applied Sciences

Home Page:https://www.hs-heilbronn.de/mel

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Project Overview

This project trains a computer program to identify the voice of the speaker. It was a part of the master's degree (Electronic Systems Engineering) at Heilbronn University of Applied Sciences.

  • Grade: 1,0 (Very good)

How to usw it:

  1. Download or clone the project
  2. Open the cmd and run the following line of code:
$ python my_awesome_program.py
  1. Select some models for the training
  2. Select a reference
  3. Click the button "predict". Then you will see in the result field the prediction of the application GUI

Prerequisites:

  • Python 3.5 / 3.6 Packages:
  • numpy (pip install numpy)

Team

  • Andreas Schneider
  • Lisa-Franziska Schäfer

License

The MIT License (MIT)

Copyright (c) 2018 Andreas Schneider, Gustav Willig, Lisa-Franziska Schäfer

About

This project trains a computer program to identify the voice of the speaker. It was a part of the master's degree (Electronic Systems Engineering) at Heilbronn University of Applied Sciences

https://www.hs-heilbronn.de/mel


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