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MFCC VQ based Speaker Recognition and Its Accuracy Affecting Factors

by Satyanand Singh, Dr. E.G Rajan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 21 - Number 6
Year of Publication: 2011
Authors: Satyanand Singh, Dr. E.G Rajan
10.5120/2519-3423

Satyanand Singh, Dr. E.G Rajan . MFCC VQ based Speaker Recognition and Its Accuracy Affecting Factors. International Journal of Computer Applications. 21, 6 ( May 2011), 1-6. DOI=10.5120/2519-3423

@article{ 10.5120/2519-3423,
author = { Satyanand Singh, Dr. E.G Rajan },
title = { MFCC VQ based Speaker Recognition and Its Accuracy Affecting Factors },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 21 },
number = { 6 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume21/number6/2519-3423/ },
doi = { 10.5120/2519-3423 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:45.732227+05:30
%A Satyanand Singh
%A Dr. E.G Rajan
%T MFCC VQ based Speaker Recognition and Its Accuracy Affecting Factors
%J International Journal of Computer Applications
%@ 0975-8887
%V 21
%N 6
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present study was conducted to evaluate the accuracy affecting factors of a Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) based speaker recognition system. This investigation analyses the factors that affecting recognition accuracy using speech signal from day to day life in surrounding environments. It was studied the mismatch affects of text-dependency, voice sample length, speaking language, speaking style, mimicry, the quality of microphone, utterance sample quality and surrounding noise. The corpuses of 10 people of 20 utterance subjects were collected which were indicate that any mismatch degrades recognition accuracy. It was found that most dominating factors that degrades the accuracy of speaker recognition systems were surrounding noise, quality of microphone by which voice sample were collected, disguise, and degrading of the sample rate and quality. Speech-related factors and sample length were less critical.

References
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Index Terms

Computer Science
Information Sciences

Keywords

GF Triangular Filter Subbands Correlation MFCC inverted MFCC Vector Quantization

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