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 |
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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
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.