Useful Matlab Functions for Speaker Recognition Using Adapted Gaussian Mixture Model
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.
http://www1.aston.ac.uk/eas/research/groups/ncrg/resources/netlab/
References:
[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.
引用
Md Sahidullah (2026). Useful Matlab Functions for Speaker Recognition Using Adapted Gaussian Mixture Model (https://jp.mathworks.com/matlabcentral/fileexchange/31678-useful-matlab-functions-for-speaker-recognition-using-adapted-gaussian-mixture-model), MATLAB Central File Exchange. に取得済み.
謝辞
ヒントを得たファイル: Netlab
