CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Speaker Identification System using Wavelet Transform and VQ modeling Technique

by Shailaja S Yadav, D.g.bhalke
journal cover thumbnail

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
  1. Ning Wang, P. C. Ching, , Nengheng Zheng, and Tan Lee, "Robust Speaker Recognition Using Denoised Vocal Sthisce and Vocal Tract Features, IEEE transactions on audio, speech, and language processing, vol. 19, no. 1, January 2011.
  2. Ching-Tang Hsieh, Eugene Lai and You-Chuang Wang, "Robust Speaker Identification System Based on Wavelet Transform and Gaussian Mixture Model'', Jthisnal of information science and engineering 19, 267-282 (2003).
  3. Haris B C, G Pradhan, A Misra, S Shukla, R Sinha and S R M Prasanna, "Multi-Variability Speech Database for Robust Speaker Recognition", IEEE Conference, 2011.
  4. Qi Li and Yan Huang, "An Auditory-Based Feature Extraction Algorithm for Robust Speaker Identification under Mismatched Conditions", IEEE transactions on audio, speech, and language processing, vol. 19, no. 6, August 2011.
  5. Xing Fan and John H. L. Hansen, "Speaker Identification within Whispered Speech Audio Streams", IEEE transactions on audio, speech, and language processing, vol. 19, no. 5, July 2011.
  6. Haris B C, G Pradhan, A Misra, S Shukla, R Sinha and S R M Prasanna, "Multi-Variability Speech Database for Robust Speaker Recognition", IEEE Conference, 2011.
  7. Gayadhar Pradhan and S R Mahadeva Prasanna,"Significance of Speaker Information in Wideband Speech'', IEEE Conference, 2011.
  8. Phung Trung Nghia1 Pham Viet Binh1 Nguyen Huu Thai Nguyen Thanh Ha2 Prayoth Kumsawat, "A Robust Wavelet-based Text-Independent Speaker Identification" International Conference on Computational Intelligence and Multimedia Applications 2007.
  9. Gyanendra K Verma and U. S. Tiwary, "Text Independent Speaker Identification using Wavelet Transform" International Conf. on Computer & Communication Technology.
  10. Milan Sigmund, "Automatic speaker recognition by speech signal" Bruno university of Technology, Czech Republic.
  11. R. Vergin, D. O'Shaughnessy, and A. Farhat, "Generalized mel requency cepstral coefficients for large-vocabulary speakerindependent continuous-speech recognition," IEEE Transactions on Speech and Audio Processing, Vol. 7, 1999, pp. 525-532.
  12. Muzhir Shaban Al-Ani, Thabit Sultan Mohammed and Karim M. Aljebory, "Speaker Identification: A Hybrid Approach Using Neural Networks and Wavelet Transform" Jthisnal of Computer Science 3 (5): 304-309, 2007 ISSN 1549-3636, © 2007 Science Publications.
  13. Nitisha, Ashu Bansal "Speaker Recognition using MFCC Front End Analysis & VQ Modeling Techniques for Hindi Words using MATLAB " International Jthisnal of Computer Applications (0975 – 8887) Volume 45– No. 24, May 2012 48
Index Terms

Computer Science
Information Sciences

Keywords

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

Powered by PhDFocusTM