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Useful Matlab Functions for Speaker Recognition Using Adapted Gaussian Mixture Model

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Useful Matlab Functions for Speaker Recognition Using Adapted Gaussian Mixture Model



05 Jun 2011 (Updated )

This submission includes useful MATLAB functions for speaker recognition using adapted GMM.

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Implementation details of (i)-(iii) can be found in [1].

The fourth function (gmm2sv.m) is to concatenate the means (i.e. centers) of GMM. The concatenated mean of adapted GMM is known as GMM supervector (GSV) and it is used in GMM-SVM based speaker recognition system. Details of GMM-SVM based speaker recognition system can be found in [2].

These codes require Netlab toolbox.

[1] D. A. Reynolds, T. F. Quatieri, and R. B. dunn, "Speaker verification using adapted Gaussian mixture models", Digital signal processing, vol. 10, pp. 19--41, 2000.
[2] Campbell, W.M.; Sturim, D.E.; Reynolds, D.A.; , "Support vector machines using GMM supervectors for speaker verification," Signal Processing Letters, IEEE , vol.13, no.5, pp. 308- 311, May 2006.


Netlab inspired this file.

MATLAB release MATLAB 7.8 (R2009a)
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Comments and Ratings (3)
26 Sep 2016 miguel

miguel (view profile)

I think you can. But I would try some implementation of PLDA or deep learning.


This one is intended to be used on speaker ID, but you could adapt it easily, since the important functions take features as arguments:

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25 Sep 2016 Aj_ti

Aj_ti (view profile)

Can use for image recognition?

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26 May 2015 Amna Tehreem

06 Jun 2011 1.1

Description is updated.

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