Development of a real-time speaker recognition system using TMS320C31

Speaker recognition systems based on Malay language have been developed in the personal computer environment. This thesis outlines a hardware implementation of a real-time speaker recognition using Malay language. Various speaker recognition classifiers have been investigated in term of feasibility...

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Main Author:	Sowndappan, Prakash
Format:	Thesis
Language:	English
Published:	2006
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/5339/1/PrakashSowndappanMFKE2006.pdf
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id	my-utm-ep.5339
record_format	uketd_dc
spelling	my-utm-ep.53392018-03-07T20:57:42Z Development of a real-time speaker recognition system using TMS320C31 2006-03 Sowndappan, Prakash TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science Speaker recognition systems based on Malay language have been developed in the personal computer environment. This thesis outlines a hardware implementation of a real-time speaker recognition using Malay language. Various speaker recognition classifiers have been investigated in term of feasibility in a stand-alone hardware platform. Computational and memory requirement are given consideration, along with processing optimizations. A speaker recognition board is implemented based on a TMS32C31 digital signal processor (DSP). The speaker recognition techniques used are the Linear Predictive Coding (LPC) Cepstral analysis for feature extraction, Vector Quantization (VQ) for feature compression and the Dynamic Time Warping (DTW) for speaker feature matching. This system is trained and tested using a population of ten users, with additional testing using ten impostors. The average entry success of a true user is 93.4%. The speaker recognition board is successfully tested as a speaker recognition door access system, with true access success rate of 88.7%. The speaker recognition system shows good performance, as well as being operational in real-time. 2006-03 Thesis http://eprints.utm.my/id/eprint/5339/ http://eprints.utm.my/id/eprint/5339/1/PrakashSowndappanMFKE2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Sowndappan, Prakash Development of a real-time speaker recognition system using TMS320C31
description	Speaker recognition systems based on Malay language have been developed in the personal computer environment. This thesis outlines a hardware implementation of a real-time speaker recognition using Malay language. Various speaker recognition classifiers have been investigated in term of feasibility in a stand-alone hardware platform. Computational and memory requirement are given consideration, along with processing optimizations. A speaker recognition board is implemented based on a TMS32C31 digital signal processor (DSP). The speaker recognition techniques used are the Linear Predictive Coding (LPC) Cepstral analysis for feature extraction, Vector Quantization (VQ) for feature compression and the Dynamic Time Warping (DTW) for speaker feature matching. This system is trained and tested using a population of ten users, with additional testing using ten impostors. The average entry success of a true user is 93.4%. The speaker recognition board is successfully tested as a speaker recognition door access system, with true access success rate of 88.7%. The speaker recognition system shows good performance, as well as being operational in real-time.
format	Thesis
qualification_level	Master's degree
author	Sowndappan, Prakash
author_facet	Sowndappan, Prakash
author_sort	Sowndappan, Prakash
title	Development of a real-time speaker recognition system using TMS320C31
title_short	Development of a real-time speaker recognition system using TMS320C31
title_full	Development of a real-time speaker recognition system using TMS320C31
title_fullStr	Development of a real-time speaker recognition system using TMS320C31
title_full_unstemmed	Development of a real-time speaker recognition system using TMS320C31
title_sort	development of a real-time speaker recognition system using tms320c31
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2006
url	http://eprints.utm.my/id/eprint/5339/1/PrakashSowndappanMFKE2006.pdf
_version_	1747814583479828480

Development of a real-time speaker recognition system using TMS320C31

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