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Comparison of VQ and GMM for Text Independent Speaker Identification System for The Bengali Language

by Md Mahadi Hasan Nahid, Md Ashraful Islam, Md Saiful Islam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 47
Year of Publication: 2019
Authors: Md Mahadi Hasan Nahid, Md Ashraful Islam, Md Saiful Islam
10.5120/ijca2019919354

Md Mahadi Hasan Nahid, Md Ashraful Islam, Md Saiful Islam . Comparison of VQ and GMM for Text Independent Speaker Identification System for The Bengali Language. International Journal of Computer Applications. 178, 47 ( Sep 2019), 18-21. DOI=10.5120/ijca2019919354

@article{ 10.5120/ijca2019919354,
author = { Md Mahadi Hasan Nahid, Md Ashraful Islam, Md Saiful Islam },
title = { Comparison of VQ and GMM for Text Independent Speaker Identification System for The Bengali Language },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 47 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number47/30866-2019919354/ },
doi = { 10.5120/ijca2019919354 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:21.594527+05:30
%A Md Mahadi Hasan Nahid
%A Md Ashraful Islam
%A Md Saiful Islam
%T Comparison of VQ and GMM for Text Independent Speaker Identification System for The Bengali Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 47
%P 18-21
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speaker identification (SI) is the system to identify the person by the signal pattern of their voices. In recent years, many speaker identification models are proposed, but till now speaker identification technology do not reach their full potential. This paper presents a comprehensive comparative study of VQ and GMM to identify the speaker who speaks in Bengali accent. We consider the problem of text-independent speaker identification. We compare the performance/accuracy of VQ and GMM based Speaker Identification System (SIS). We use Mel Frequency Cepstral Coefficients (MFCC) and Liner Predictive Coding Coefficients (LPCC) for feature extraction.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bengali Speaker Identification SI Voice Recognition MFCC LPCC VQ GMM.

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