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Speaker verification based on speech signal

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors: Shariffah Fauziah, Jap, Chekima, Ali, Mazlina, Mamat, Wan Mahani, Abdullah
Other Authors: chekima@ums.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Speech signal
Speech processing systems
Signal processing
Linear Prediction Coefficients (LPC)
Biometrics
Biometry
Automatic identification
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7327
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id my.unimap-7327
record_format dspace
spelling my.unimap-73272010-01-18T06:56:20Z Speaker verification based on speech signal Shariffah Fauziah, Jap Chekima, Ali Mazlina, Mamat Wan Mahani, Abdullah chekima@ums.edu.my Speech signal Speech processing systems Signal processing Linear Prediction Coefficients (LPC) Biometrics Biometry Automatic identification Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. This paper presents the initial effort to perform speaker verification by utilizing the speech signal characteristics found in individual’s voice to recognize its speaker. A total of six speakers from different backgrounds were selected as sample and each of them is required to pronounces numbers zero to nine for 5 times. The recorded speech signal then undergoes a series of speech processing, which contains Pre-emphasis, Framing, Windowing and Endpoint Detection. To obtain the features of each speech signal, the Linear Prediction Coefficients (LPC) technique is used. The collection of LPC coefficients then were feed to the Multilayer Perceptron Neural Network trained by Back Propagation algorithm, which acts as a pattern matching algorithm. The results show that the speech signal has the potential to be used to verify its speaker in high accuracy. 2009-11-18T03:12:43Z 2009-11-18T03:12:43Z 2009-10-11 Working Paper p.5B5 1 - 5B5 6 http://hdl.handle.net/123456789/7327 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Speech signal
Speech processing systems
Signal processing
Linear Prediction Coefficients (LPC)
Biometrics
Biometry
Automatic identification
spellingShingle Speech signal
Speech processing systems
Signal processing
Linear Prediction Coefficients (LPC)
Biometrics
Biometry
Automatic identification
Shariffah Fauziah, Jap
Chekima, Ali
Mazlina, Mamat
Wan Mahani, Abdullah
Speaker verification based on speech signal
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 chekima@ums.edu.my
author_facet chekima@ums.edu.my
Shariffah Fauziah, Jap
Chekima, Ali
Mazlina, Mamat
Wan Mahani, Abdullah
format Working Paper
author Shariffah Fauziah, Jap
Chekima, Ali
Mazlina, Mamat
Wan Mahani, Abdullah
author_sort Shariffah Fauziah, Jap
title Speaker verification based on speech signal
title_short Speaker verification based on speech signal
title_full Speaker verification based on speech signal
title_fullStr Speaker verification based on speech signal
title_full_unstemmed Speaker verification based on speech signal
title_sort speaker verification based on speech signal
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7327
_version_ 1643788778630807552
score 13.226497

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