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Voice Biometric System for Speaker Authentication

Published on September 2015 by S. Karamchandani C, Thomas V, Sachdevp. Raut, D. Srivastava N. Shah
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CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 7
September 2015
Authors: S. Karamchandani C, Thomas V, Sachdevp. Raut, D. Srivastava N. Shah
3819de18-b538-412e-89a3-304c125dd12a

S. Karamchandani C, Thomas V, Sachdevp. Raut, D. Srivastava N. Shah . Voice Biometric System for Speaker Authentication. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 7 (September 2015), 1-4.

@article{
author = { S. Karamchandani C, Thomas V, Sachdevp. Raut, D. Srivastava N. Shah },
title = { Voice Biometric System for Speaker Authentication },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { September 2015 },
volume = { ICCT2015 },
number = { 7 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icct2015/number7/22679-1584/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A S. Karamchandani C
%A Thomas V
%A Sachdevp. Raut
%A D. Srivastava N. Shah
%T Voice Biometric System for Speaker Authentication
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 7
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

This paper discusses the implementation of a text-independent, biometric, Speaker Recognition based security system. Such a bio-metric model can be used to identify a person based on his or her voice-print. Mel Frequency Cepstral Coefficients (MFCCs) are used to denote the unique features of a person's speech and Vector Quantization has been used to generate speaker specific codebooks. The traditional techniques of speech processing like end-point detection, pre-emphasis, windowing, Fourier transformation have been used. The advantages and limitations of the proposed system are also stated in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Speaker Identification Signal Processing Feature Extraction Mfccs Dct(discrete Cosine Transform) Vector Quantization.