Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman

The automatic speech recognition (ASR) field has become one of the leading speech technology areas using artificial intelligence (AI) approaches. Despite all of the advances in the speech recognition area, the problem is far from being completely solved. Various methods have been introduced to devel...

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Main Author: Seman, Noraini
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2012
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/19099/
http://ir.uitm.edu.my/id/eprint/19099/1/ABS_NORAINI%20SEMAN%20TDRA%20VOL%201%20IGS%2012.pdf
id uitm-19099
recordtype eprints
spelling uitm-190992018-06-11T00:54:33Z http://ir.uitm.edu.my/id/eprint/19099/ Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman Seman, Noraini Malaysia The automatic speech recognition (ASR) field has become one of the leading speech technology areas using artificial intelligence (AI) approaches. Despite all of the advances in the speech recognition area, the problem is far from being completely solved. Various methods have been introduced to develop an efficient ASR system. A variety of automatic knowledge acquisition or learning and adaptation concepts need to be established in speech recognition using AI approaches. These key concepts can only be implemented using artificial neural networks (ANNs) approach. However, traditional ANNs have many fundamental problems regarding a long and uncertain training process, which in most cases learning or training of a neural network is based on a trial and error method. Genetic Algorithm (GA) based learning technique provides an alternative way that involves controlling the learning complexity by adjusting the number of weights of the ANN. However, due to the stochastic nature of this algorithm, the learning process can reach an optimal solution with much higher probability than many standard neural network techniques. Institute of Graduate Studies, UiTM 2012 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19099/1/ABS_NORAINI%20SEMAN%20TDRA%20VOL%201%20IGS%2012.pdf Seman, Noraini (2012) Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 1 (1). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Malaysia
spellingShingle Malaysia
Seman, Noraini
Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
description The automatic speech recognition (ASR) field has become one of the leading speech technology areas using artificial intelligence (AI) approaches. Despite all of the advances in the speech recognition area, the problem is far from being completely solved. Various methods have been introduced to develop an efficient ASR system. A variety of automatic knowledge acquisition or learning and adaptation concepts need to be established in speech recognition using AI approaches. These key concepts can only be implemented using artificial neural networks (ANNs) approach. However, traditional ANNs have many fundamental problems regarding a long and uncertain training process, which in most cases learning or training of a neural network is based on a trial and error method. Genetic Algorithm (GA) based learning technique provides an alternative way that involves controlling the learning complexity by adjusting the number of weights of the ANN. However, due to the stochastic nature of this algorithm, the learning process can reach an optimal solution with much higher probability than many standard neural network techniques.
format Book Section
author Seman, Noraini
author_facet Seman, Noraini
author_sort Seman, Noraini
title Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
title_short Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
title_full Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
title_fullStr Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
title_full_unstemmed Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
title_sort coalition of genetic algorithms and artificial neural network for isolated spoken malay speech recognition / noraini seman
publisher Institute of Graduate Studies, UiTM
publishDate 2012
url http://ir.uitm.edu.my/id/eprint/19099/
http://ir.uitm.edu.my/id/eprint/19099/1/ABS_NORAINI%20SEMAN%20TDRA%20VOL%201%20IGS%2012.pdf
first_indexed 2023-09-18T23:01:51Z
last_indexed 2023-09-18T23:01:51Z
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