Tuesday, 1 November 2016

Speaker and Language recognition using GMM with matlab codes

Speaker recognition can be done effectively using MFCC features and fitting a Gaussian Mixture Model. In our project we had the data from 22 different speakers. Each speaker were having 8 voice samples for the training. A GMM model was fit for each speaker. When a new test voice comes the likelyhood of the voice is computed for all the speaker models and the one with the highest likelyhood will identified as the speaker.

A detail description and codes are present in the following link

Speaker recognition matlab code

No comments:

Post a Comment