Voice based automatic person identification system using vector quantization

This paper presents the design, implementation, and evaluation of a research work for developing an automatic person identification system using voice biometric. The developed automatic person identification system mainly used toolboxes provided by MATLAB environment. To extract features from voice...

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Main Authors:	Abushariah, Ahmad A. M., Gunawan, Teddy Surya, Chebil, Jalel, Abushariah, Mohammad Abd-Alrahman Mahmoud
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/27194/ http://irep.iium.edu.my/27194/ http://irep.iium.edu.my/27194/1/Ahmad1277_Voice_Identification_v2.pdf

id	iium-27194
recordtype	eprints
spelling	iium-271942012-12-17T07:22:12Z http://irep.iium.edu.my/27194/ Voice based automatic person identification system using vector quantization Abushariah, Ahmad A. M. Gunawan, Teddy Surya Chebil, Jalel Abushariah, Mohammad Abd-Alrahman Mahmoud TA Engineering (General). Civil engineering (General) This paper presents the design, implementation, and evaluation of a research work for developing an automatic person identification system using voice biometric. The developed automatic person identification system mainly used toolboxes provided by MATLAB environment. To extract features from voice signals, Mel-Frequency Cepstral Coefficients (MFCC) technique was applied producing a set of feature vectors. Subsequently, the system uses the Vector Quantization (VQ) for features training and classification. In order to train and test the developed automatic person identification system, an in-house voice database is created, which contains recordings of 100 persons’ usernames (50 males and 50 females) each of which is repeated 30 times. Therefore, a total of 3000 utterances are collected. This paper also investigates the effect of the persons’ gender on the overall performance of the system. The voice data collected from female persons outperformed those collected from the male persons, whereby the system obtained average recognition rates of 94.20% and 91.00% for female and male persons, respectively. Overall, the voice based system obtained an average recognition rate of 92.60% for all persons. 2012-07-03 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/27194/1/Ahmad1277_Voice_Identification_v2.pdf Abushariah, Ahmad A. M. and Gunawan, Teddy Surya and Chebil, Jalel and Abushariah, Mohammad Abd-Alrahman Mahmoud (2012) Voice based automatic person identification system using vector quantization. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://www.iium.edu.my/iccce/12/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Abushariah, Ahmad A. M. Gunawan, Teddy Surya Chebil, Jalel Abushariah, Mohammad Abd-Alrahman Mahmoud Voice based automatic person identification system using vector quantization
description	This paper presents the design, implementation, and evaluation of a research work for developing an automatic person identification system using voice biometric. The developed automatic person identification system mainly used toolboxes provided by MATLAB environment. To extract features from voice signals, Mel-Frequency Cepstral Coefficients (MFCC) technique was applied producing a set of feature vectors. Subsequently, the system uses the Vector Quantization (VQ) for features training and classification. In order to train and test the developed automatic person identification system, an in-house voice database is created, which contains recordings of 100 persons’ usernames (50 males and 50 females) each of which is repeated 30 times. Therefore, a total of 3000 utterances are collected. This paper also investigates the effect of the persons’ gender on the overall performance of the system. The voice data collected from female persons outperformed those collected from the male persons, whereby the system obtained average recognition rates of 94.20% and 91.00% for female and male persons, respectively. Overall, the voice based system obtained an average recognition rate of 92.60% for all persons.
format	Conference or Workshop Item
author	Abushariah, Ahmad A. M. Gunawan, Teddy Surya Chebil, Jalel Abushariah, Mohammad Abd-Alrahman Mahmoud
author_facet	Abushariah, Ahmad A. M. Gunawan, Teddy Surya Chebil, Jalel Abushariah, Mohammad Abd-Alrahman Mahmoud
author_sort	Abushariah, Ahmad A. M.
title	Voice based automatic person identification system using vector quantization
title_short	Voice based automatic person identification system using vector quantization
title_full	Voice based automatic person identification system using vector quantization
title_fullStr	Voice based automatic person identification system using vector quantization
title_full_unstemmed	Voice based automatic person identification system using vector quantization
title_sort	voice based automatic person identification system using vector quantization
publishDate	2012
url	http://irep.iium.edu.my/27194/ http://irep.iium.edu.my/27194/ http://irep.iium.edu.my/27194/1/Ahmad1277_Voice_Identification_v2.pdf
first_indexed	2023-09-18T20:40:26Z
last_indexed	2023-09-18T20:40:26Z
_version_	1777409328865607680

Voice based automatic person identification system using vector quantization

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