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Speaker Identification System using Wavelet Transform and VQ modeling Technique

by Shailaja S Yadav, D.g.bhalke
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 9
Year of Publication: 2015
Authors: Shailaja S Yadav, D.g.bhalke
10.5120/19694-1453

Shailaja S Yadav, D.g.bhalke . Speaker Identification System using Wavelet Transform and VQ modeling Technique. International Journal of Computer Applications. 112, 9 ( February 2015), 19-23. DOI=10.5120/19694-1453

@article{ 10.5120/19694-1453,
author = { Shailaja S Yadav, D.g.bhalke },
title = { Speaker Identification System using Wavelet Transform and VQ modeling Technique },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 9 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number9/19694-1453/ },
doi = { 10.5120/19694-1453 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:00.546681+05:30
%A Shailaja S Yadav
%A D.g.bhalke
%T Speaker Identification System using Wavelet Transform and VQ modeling Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 9
%P 19-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, speaker identification system based on the wavelet transform is introduced. The proposed system identifies the speakers by their acoustic characteristics in speech signal of speakers. In this system, pre-processing of speech signal is used to remove silent part of speech signal. Discrete Wavelet Transform is used to decompose signal at two levels. DWT based Mel frequency cepstral coefficients (MFCC) and Traditional MFCC are used as a feature for speaker identification system. The similarity between the extracted features and set of reference features is calculated by Vector Quantization to determine speaker identity. TIMIT Database of different 15 speakers is used.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Speaker Identification System Feature Extraction Discrete Wavelet Transform MFCC Vector Quantization.

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