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A Comparative Analysis of Speaker Identification on English and Hindi Database

by Anjali Jain, O. P. Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 12
Year of Publication: 2013
Authors: Anjali Jain, O. P. Sharma
10.5120/14632-3000

Anjali Jain, O. P. Sharma . A Comparative Analysis of Speaker Identification on English and Hindi Database. International Journal of Computer Applications. 84, 12 ( December 2013), 53-56. DOI=10.5120/14632-3000

@article{ 10.5120/14632-3000,
author = { Anjali Jain, O. P. Sharma },
title = { A Comparative Analysis of Speaker Identification on English and Hindi Database },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 12 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 53-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number12/14632-3000/ },
doi = { 10.5120/14632-3000 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:46.819775+05:30
%A Anjali Jain
%A O. P. Sharma
%T A Comparative Analysis of Speaker Identification on English and Hindi Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 12
%P 53-56
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a text-dependent speaker recognition method is presented by combining Mel frequency cepstrum coefficients (MFCC) and Euclidean distance. The robustness of this speaker identification method for different speaking language is analyzed in this paper. The speaker identification algorithm using English and Hindi Indian voice database (IVD) which contains sentences of data spoken is accomplished. An improvement in recognition rate is observed by using different windows and increasing the number of training voice samples. Accuracy upto 100% can be obtained for text-dependent speaker identification for different windows by using a short training and testing utterance about 4 seconds.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Speaker Identification MFCC Euclidean distance classifier Feature extraction and database.

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