Arabic automatic continuous speech recognition systems
MSA is the current formal linguistic standard of Arabic language, which is widely taught in schools and universities, and often used in the office and the media. MSA is also considered as the only acceptable form of Arabic language for all native speakers [I]. As recently, the research community ha...
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iium-216642012-09-03T02:09:56Z http://irep.iium.edu.my/21664/ Arabic automatic continuous speech recognition systems Abushariah, Mohammad A. M. Zainuddin, Roziati Alqudah, Assal Ali Mustafa Khalifa, Othman Omran TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices MSA is the current formal linguistic standard of Arabic language, which is widely taught in schools and universities, and often used in the office and the media. MSA is also considered as the only acceptable form of Arabic language for all native speakers [I]. As recently, the research community has witnessed an improvement in the performance of ASR systems, there is an increasingly widespread use of this technology for several languages of the world. Similarly, research interests have grown significantly in the past few years for Arabic ASR research. It is noticed that Arabic ASR research is not only conducted and investigated by researchers in the Arab world, but also by many others located in different parts of the \vorld especially the western countries. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21664/1/Chapter_31.pdf Abushariah, Mohammad A. M. and Zainuddin, Roziati and Alqudah, Assal Ali Mustafa and Khalifa, Othman Omran (2011) Arabic automatic continuous speech recognition systems. In: Human Behaviour Recognition,Iidentification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 306-316. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx |
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Digital Repository |
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International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
language |
English |
topic |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
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TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Abushariah, Mohammad A. M. Zainuddin, Roziati Alqudah, Assal Ali Mustafa Khalifa, Othman Omran Arabic automatic continuous speech recognition systems |
description |
MSA is the current formal linguistic standard of Arabic language, which is widely taught in schools and universities, and often used in the office and the media. MSA is also considered as the only acceptable form of Arabic language for all native speakers [I].
As recently, the research community has witnessed an improvement in the performance of ASR systems, there is an increasingly widespread use of this technology for
several languages of the world. Similarly, research interests have grown significantly in the past few years for Arabic ASR research. It is noticed that Arabic ASR research is not only conducted and investigated by researchers in the Arab world, but also by many others located
in different parts of the \vorld especially the western countries. |
format |
Book Chapter |
author |
Abushariah, Mohammad A. M. Zainuddin, Roziati Alqudah, Assal Ali Mustafa Khalifa, Othman Omran |
author_facet |
Abushariah, Mohammad A. M. Zainuddin, Roziati Alqudah, Assal Ali Mustafa Khalifa, Othman Omran |
author_sort |
Abushariah, Mohammad A. M. |
title |
Arabic automatic continuous speech recognition systems |
title_short |
Arabic automatic continuous speech recognition systems |
title_full |
Arabic automatic continuous speech recognition systems |
title_fullStr |
Arabic automatic continuous speech recognition systems |
title_full_unstemmed |
Arabic automatic continuous speech recognition systems |
title_sort |
arabic automatic continuous speech recognition systems |
publisher |
IIUM Press |
publishDate |
2011 |
url |
http://irep.iium.edu.my/21664/ http://irep.iium.edu.my/21664/ http://irep.iium.edu.my/21664/1/Chapter_31.pdf |
first_indexed |
2023-09-18T20:33:00Z |
last_indexed |
2023-09-18T20:33:00Z |
_version_ |
1777408861190225920 |