CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Voice Biometric System for Speaker Authentication

Published on September 2015 by S. Karamchandani C, Thomas V, Sachdevp. Raut, D. Srivastava N. Shah
journal_cover_thumbnail

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
  1. L. R Rabiner and R. W. Schafer, Digital Processing of Speech Signals, Prentice-Hall, Englewood Cliffs, N. J. , 1978.
  2. L. R. Rabiner and B. H. Juang, Fundamentals of SpeechRecognition, Prentice-Hall, Englewood Cliffs, New Jersey, 1993.
  3. S. Furui, "An overview of speaker recognition technology", ESCA Workshop on Automatic Speaker Recognition, Identification and Verification, pp. 1-9, 1994.
  4. F. K. Song, A. E. Rosenberg and B. H. Juang, "A vector quantisation approach to speaker recognition", AT&T Technical Journal, Vol. 66-2, pp. 14-26, March 1987.
  5. A. Martin, D. Charlet, and L. Mauuary, "Robust speech / non- speech detection using
  6. LDA applied to MFCC", in Proc. ICASSP2001}, vol. 1, 2001, pp. 237–240.
  7. Ashish Kumar Panda, Amit Kumar Sahoo "Study of speaker recognition systems"
  8. Department Of Electronics And Communication National Institute Of Technology, Rourkela 2007.
  9. Prof. Ch. Srinivasa Kumar, Dr. P. Mallikarjuna Rao "Design of an automatic speaker recognition system using MFCC, vector quantization and LBG algorithm" Ch. Srinivasa Kumar et al. / International Journal on Computer Science and Engineering (IJCSE) vol. 3 No. 8 August 2011.
  10. Alan V. Oppenheim, Ronald W. Schafer "Discrete-Time Signal Processing, Prentice Hall, Englewood Cliffs, N. J. , 1994.
  11. G. Saha, Sandipan Chakroborty, Suman Senapati,A New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications,Department of Electronics and Electrical Communication Engineering,Indian Institute of Technology, Khragpur, Kharagpur-721 302, India
  12. Practicalcryptography. com/miscellaneous/machine-learning/guide-mel-frequency-cepstral-coefficients-mfccs/
Index Terms

Computer Science
Information Sciences

Keywords

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