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Implementation of speaker identification system by means of personal computer

Speech processing systems are highly complex and teaching students in this subject matter with the underlying technologies can be a challenging task. The aim of this work was to give a hands-on experience via a development of speech processing system based on the hidden Markov model (HMM) as a teach...

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Main Authors:	Shaikh Salleh, Sheikh Hussain, Sha'ameri, Ahmad Zuri, Yusoff, Zulkarnian, Syed Al Attas, Syed Rahman, Lim, Soon Chieh
Format:	Article
Language:	English
Published:	2000
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/2033/1/Salleh2000__ImplementationOfSpeakerIdentificationSystem.pdf http://eprints.utm.my/id/eprint/2033/
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id	my.utm.2033
record_format	eprints
spelling	my.utm.20332010-06-01T03:00:23Z http://eprints.utm.my/id/eprint/2033/ Implementation of speaker identification system by means of personal computer Shaikh Salleh, Sheikh Hussain Sha'ameri, Ahmad Zuri Yusoff, Zulkarnian Syed Al Attas, Syed Rahman Lim, Soon Chieh TK Electrical engineering. Electronics Nuclear engineering Speech processing systems are highly complex and teaching students in this subject matter with the underlying technologies can be a challenging task. The aim of this work was to give a hands-on experience via a development of speech processing system based on the hidden Markov model (HMM) as a teaching aid. A method for implementing the speaker recognition system using our toolkit was developed as a dedicated laboratory environment for students. For speaker recognition, experiments were performed to evaluate the performance of the system with 30 speakers (22 impostors and 8 clients). The identification error was 2%, the false acceptance rate was 28% and the false rejection rate was 1%. The Teaching Module Speech Recognition (TMSR) toolkit was used in the lab which was part of the courses on digital signal processing (DSP) technology given by the Computer Engineering and Microelectronics Department. Students are given some initial guidance on how to use the toolkit and instructions to carry out the speaker identification experiments. Overall, the laboratory system was a success and plans are taken in the coming academic years to improve and extend the capability of the system 2000-09-24 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2033/1/Salleh2000__ImplementationOfSpeakerIdentificationSystem.pdf Shaikh Salleh, Sheikh Hussain and Sha'ameri, Ahmad Zuri and Yusoff, Zulkarnian and Syed Al Attas, Syed Rahman and Lim, Soon Chieh (2000) Implementation of speaker identification system by means of personal computer. TENCON 2000. Proceedings , 1 (3 vol.(xxv+536+614+527) ). pp. 43-48.
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Shaikh Salleh, Sheikh Hussain Sha'ameri, Ahmad Zuri Yusoff, Zulkarnian Syed Al Attas, Syed Rahman Lim, Soon Chieh Implementation of speaker identification system by means of personal computer
description	Speech processing systems are highly complex and teaching students in this subject matter with the underlying technologies can be a challenging task. The aim of this work was to give a hands-on experience via a development of speech processing system based on the hidden Markov model (HMM) as a teaching aid. A method for implementing the speaker recognition system using our toolkit was developed as a dedicated laboratory environment for students. For speaker recognition, experiments were performed to evaluate the performance of the system with 30 speakers (22 impostors and 8 clients). The identification error was 2%, the false acceptance rate was 28% and the false rejection rate was 1%. The Teaching Module Speech Recognition (TMSR) toolkit was used in the lab which was part of the courses on digital signal processing (DSP) technology given by the Computer Engineering and Microelectronics Department. Students are given some initial guidance on how to use the toolkit and instructions to carry out the speaker identification experiments. Overall, the laboratory system was a success and plans are taken in the coming academic years to improve and extend the capability of the system
format	Article
author	Shaikh Salleh, Sheikh Hussain Sha'ameri, Ahmad Zuri Yusoff, Zulkarnian Syed Al Attas, Syed Rahman Lim, Soon Chieh
author_facet	Shaikh Salleh, Sheikh Hussain Sha'ameri, Ahmad Zuri Yusoff, Zulkarnian Syed Al Attas, Syed Rahman Lim, Soon Chieh
author_sort	Shaikh Salleh, Sheikh Hussain
title	Implementation of speaker identification system by means of personal computer
title_short	Implementation of speaker identification system by means of personal computer
title_full	Implementation of speaker identification system by means of personal computer
title_fullStr	Implementation of speaker identification system by means of personal computer
title_full_unstemmed	Implementation of speaker identification system by means of personal computer
title_sort	implementation of speaker identification system by means of personal computer
publishDate	2000
url	http://eprints.utm.my/id/eprint/2033/1/Salleh2000__ImplementationOfSpeakerIdentificationSystem.pdf http://eprints.utm.my/id/eprint/2033/
_version_	1643643481323732992
score	13.211869

Implementation of speaker identification system by means of personal computer

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