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:
Online Access:http://eprints.utm.my/5339/
http://eprints.utm.my/5339/1/PrakashSowndappanMFKE2006.pdf
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author Sowndappan, Prakash
author_facet Sowndappan, Prakash
author_sort Sowndappan, Prakash
building UTeM Institutional Repository
collection Online Access
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.
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institution Universiti Teknologi Malaysia
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spelling utm-53392018-03-07T20:57:42Z http://eprints.utm.my/5339/ Development of a real-time speaker recognition system using TMS320C31 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 NonPeerReviewed application/pdf en http://eprints.utm.my/5339/1/PrakashSowndappanMFKE2006.pdf Sowndappan, Prakash (2006) Development of a real-time speaker recognition system using TMS320C31. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
Sowndappan, Prakash
Development of a real-time speaker recognition system using TMS320C31
title 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_short Development of a real-time speaker recognition system using TMS320C31
title_sort development of a real-time speaker recognition system using tms320c31
topic TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
url http://eprints.utm.my/5339/
http://eprints.utm.my/5339/1/PrakashSowndappanMFKE2006.pdf