A review: Malay speech recognition and audio visual speech recognition

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Main Authors:	C., Y. Fook, Muthusamy, Hariharan, Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Madya. Dr.
Other Authors:	fook1987@gmail.com
Format:	Working Paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:	Automatic speech recognition (ASR) Robust speech recognition Ambient noise End-point detection Features extraction Classifiers
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/21392
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-21392
record_format	dspace
spelling	my.unimap-213922012-10-18T07:40:38Z A review: Malay speech recognition and audio visual speech recognition C., Y. Fook Muthusamy, Hariharan, Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Madya. Dr. fook1987@gmail.com Automatic speech recognition (ASR) Robust speech recognition Ambient noise End-point detection Features extraction Classifiers Link to publisher's homepage at http://ieeexplore.ieee.org/ Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance degrades in noisy environments. This paper presents a brief survey on Automatic Speech Recognition on Malays Corpus and multimodal speech recognition on others Corpus. The audio only speech recognition has been done by many researchers few decades. After years of research and development the performance of automatic speech recognition remains one of the important research challenges (eg., variations of the context, database, and environment). The criteria for designing Speech Recognition system are pre-processing filter, end-point detection, feature extraction techniques, speech classifiers, database, and performance evaluation. The existing problems that are in Automatic Speech Recognition (ASR)-noise environments and the various techniques to solve these problems had constructed. The objective of this review paper is to summarize and compare some of the well know methods used by previous researcher. 2012-10-18T07:40:38Z 2012-10-18T07:40:38Z 2012-02-27 Working Paper p. 479-484 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179063 http://hdl.handle.net/123456789/21392 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
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	Automatic speech recognition (ASR) Robust speech recognition Ambient noise End-point detection Features extraction Classifiers
spellingShingle	Automatic speech recognition (ASR) Robust speech recognition Ambient noise End-point detection Features extraction Classifiers C., Y. Fook Muthusamy, Hariharan, Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Madya. Dr. A review: Malay speech recognition and audio visual speech recognition
description	Link to publisher's homepage at http://ieeexplore.ieee.org/
author2	fook1987@gmail.com
author_facet	fook1987@gmail.com C., Y. Fook Muthusamy, Hariharan, Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Madya. Dr.
format	Working Paper
author	C., Y. Fook Muthusamy, Hariharan, Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Madya. Dr.
author_sort	C., Y. Fook
title	A review: Malay speech recognition and audio visual speech recognition
title_short	A review: Malay speech recognition and audio visual speech recognition
title_full	A review: Malay speech recognition and audio visual speech recognition
title_fullStr	A review: Malay speech recognition and audio visual speech recognition
title_full_unstemmed	A review: Malay speech recognition and audio visual speech recognition
title_sort	review: malay speech recognition and audio visual speech recognition
publisher	Institute of Electrical and Electronics Engineers (IEEE)
publishDate	2012
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/21392
_version_	1643793367764566016

A review: Malay speech recognition and audio visual speech recognition

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