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A speech recognition system for Malaysian English pronunciation using Neural Network

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: Paulraj, M.P., Sazali, Yaacob, Ahamad Nazri, Sathees Kumar
Other Authors: satheesjuly4@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
LPC Coefficients
Back Propagation Neural Network
Systole Activation Function
Neural networks (Computer science)
Automatic speech recognition
Speech perception
Speech processing systems
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7281
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spelling my.unimap-72812010-01-21T01:57:28Z A speech recognition system for Malaysian English pronunciation using Neural Network Paulraj, M.P. Sazali, Yaacob Ahamad Nazri Sathees Kumar satheesjuly4@gmail.com LPC Coefficients Back Propagation Neural Network Systole Activation Function Neural networks (Computer science) Automatic speech recognition Speech perception Speech processing systems 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. The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive coding (LPC) and neural network is presented to understand the English pronunciation as spoken by Malaysians. A database consisting of 11 words recorded from 10 speakers is created and used in this work. The input signal is pre-emphasised and frames features are extracted using LPC; a simple feedforward neural network trained by conventional backpropagation procedure in four different modes of activation functions is also proposed. To stabilize the cumulative error versus epoch training and to minimize the training time, a systole activation function is also proposed. The results obtained from the neural network trained by systole activation function are compared with the sigmoidal activation functions. 2009-11-13T02:10:02Z 2009-11-13T02:10:02Z 2009-10-11 Working Paper p.2B6 1 - 2B6 5 http://hdl.handle.net/123456789/7281 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 LPC Coefficients
Back Propagation Neural Network
Systole Activation Function
Neural networks (Computer science)
Automatic speech recognition
Speech perception
Speech processing systems
spellingShingle LPC Coefficients
Back Propagation Neural Network
Systole Activation Function
Neural networks (Computer science)
Automatic speech recognition
Speech perception
Speech processing systems
Paulraj, M.P.
Sazali, Yaacob
Ahamad Nazri
Sathees Kumar
A speech recognition system for Malaysian English pronunciation using Neural Network
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 satheesjuly4@gmail.com
author_facet satheesjuly4@gmail.com
Paulraj, M.P.
Sazali, Yaacob
Ahamad Nazri
Sathees Kumar
format Working Paper
author Paulraj, M.P.
Sazali, Yaacob
Ahamad Nazri
Sathees Kumar
author_sort Paulraj, M.P.
title A speech recognition system for Malaysian English pronunciation using Neural Network
title_short A speech recognition system for Malaysian English pronunciation using Neural Network
title_full A speech recognition system for Malaysian English pronunciation using Neural Network
title_fullStr A speech recognition system for Malaysian English pronunciation using Neural Network
title_full_unstemmed A speech recognition system for Malaysian English pronunciation using Neural Network
title_sort speech recognition system for malaysian english pronunciation using neural network
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7281
_version_ 1643788747500683264
score 13.222552

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