Research Article
Speaker Recognition System using Gaussian Mixture Model
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 130 - Issue 14 |
| Published: November 2015 |
| Authors: Athira Aroon, S.B. Dhonde |
10.5120/ijca2015907193
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Athira Aroon, S.B. Dhonde . Speaker Recognition System using Gaussian Mixture Model. International Journal of Computer Applications. 130, 14 (November 2015), 38-40. DOI=10.5120/ijca2015907193
@article{ 10.5120/ijca2015907193,
author = { Athira Aroon,S.B. Dhonde },
title = { Speaker Recognition System using Gaussian Mixture Model },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 130 },
number = { 14 },
pages = { 38-40 },
doi = { 10.5120/ijca2015907193 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Athira Aroon
%A S.B. Dhonde
%T Speaker Recognition System using Gaussian Mixture Model%T
%J International Journal of Computer Applications
%V 130
%N 14
%P 38-40
%R 10.5120/ijca2015907193
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identification from a set of templates and analyzing speaker recognition rate by extracting several key features like Mel Frequency Cepstral Coefficients [MFCC] from the speech signals of those persons by using the process of feature extraction using MATLAB2013 .These features are effectively captured using feature matching technique like Gaussian Mixture Model [GMM] , with varying mixture components of mixture model and the analyzing its effect on recognition rate . Improve the speaker recognition rate by varying the input parameters of the classifier. The experiments are evaluated on TIMIT Database effectively for a speech signal sampled at 16kHz.
References
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