Simple-minded audio classifier in python (using MFCC and GMM).

This is a classifier that you can train on a set of labelled audio files, and then it predicts a label for further audio files. It is designed with two main aims:

1. to provide a baseline against which to test more advanced audio classifiers;
2. to provide a simple code example of a classifier which people are free to build on.

It uses the very common workflow of taking audio, converting it frame-by-frame into MFCCs, and modelling the MFCC "bag of frames" with a GMM.


Manager: Dan Stowell