Volume -I , Issue -V, June 2014

SPEAKER RECOGNITION USING MEL FREQUENCY CEPSTRAL COEFFICIENTAND VECTOR QUANTIZATION

Author(s) :

Ravi. G , Prasad Kumar B. M.

Abstract

In this paper we are going to use Mel Frequency Cepstral Co-efficient (MFCC) and vector Quantization (VQ) methods for feature extraction and feature matching process. Further vector quantization is used to reduce the amount of data to be stored in the database for verification. Here we are going to recognize for the English word “zero” is obtained. The experiment results are analyzed using MATLAB. By using this approach recognition rate is reached up to 89% and distortion reduced to 69%.

Keywords

Speaker Recognition, feature extraction, feature matching, MFCC, VQ.

References
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How to Cite this Paper? [APA Style]
Ravi. G , Prasad Kumar B. M., (2014), SPEAKER RECOGNITION USING MEL FREQUENCY CEPSTRAL COEFFICIENTAND VECTOR QUANTIZATION, Industrial Science Journal, http://industrialscience.org/Article.aspx?aid=39&vid=5, (June, 2014)
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