Towards an accurate speaker-independent Holy Quran acoustic model

The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by incre...

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Main Authors:	El Amrani, Mohamed Yassine, Rahman, M. M., Wahiddin, Mohamed Ridza, Shah, Asadullah
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	QA76 Computer software TA365 Acoustics in engineering. Acoustical engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/1/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_conference%20article.pdf http://irep.iium.edu.my/66925/2/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_scopus.pdf

id	iium-66925
recordtype	eprints
spelling	iium-669252018-10-18T08:33:29Z http://irep.iium.edu.my/66925/ Towards an accurate speaker-independent Holy Quran acoustic model El Amrani, Mohamed Yassine Rahman, M. M. Wahiddin, Mohamed Ridza Shah, Asadullah QA76 Computer software TA365 Acoustics in engineering. Acoustical engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by increasing the training data. In this paper, a more accurate Carnegie Melon University Sphinx acoustic model was trained for the Holy Quran chapters 001, and 067 to 114. When more efforts were put into having a more accurate training data, the resulting Word Error Rate of trained acoustic model reached around 15%. Institute of Electrical and Electronics Engineers Inc. 2018-01-31 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/66925/1/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_conference%20article.pdf application/pdf en http://irep.iium.edu.my/66925/2/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_scopus.pdf El Amrani, Mohamed Yassine and Rahman, M. M. and Wahiddin, Mohamed Ridza and Shah, Asadullah (2018) Towards an accurate speaker-independent Holy Quran acoustic model. In: 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017, 29 November- 1 December 2017, AMA International University Salmabad; Bahrain. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8277887 10.1109/ICETAS.2017.8277887
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA76 Computer software TA365 Acoustics in engineering. Acoustical engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	QA76 Computer software TA365 Acoustics in engineering. Acoustical engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices El Amrani, Mohamed Yassine Rahman, M. M. Wahiddin, Mohamed Ridza Shah, Asadullah Towards an accurate speaker-independent Holy Quran acoustic model
description	The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by increasing the training data. In this paper, a more accurate Carnegie Melon University Sphinx acoustic model was trained for the Holy Quran chapters 001, and 067 to 114. When more efforts were put into having a more accurate training data, the resulting Word Error Rate of trained acoustic model reached around 15%.
format	Conference or Workshop Item
author	El Amrani, Mohamed Yassine Rahman, M. M. Wahiddin, Mohamed Ridza Shah, Asadullah
author_facet	El Amrani, Mohamed Yassine Rahman, M. M. Wahiddin, Mohamed Ridza Shah, Asadullah
author_sort	El Amrani, Mohamed Yassine
title	Towards an accurate speaker-independent Holy Quran acoustic model
title_short	Towards an accurate speaker-independent Holy Quran acoustic model
title_full	Towards an accurate speaker-independent Holy Quran acoustic model
title_fullStr	Towards an accurate speaker-independent Holy Quran acoustic model
title_full_unstemmed	Towards an accurate speaker-independent Holy Quran acoustic model
title_sort	towards an accurate speaker-independent holy quran acoustic model
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/1/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_conference%20article.pdf http://irep.iium.edu.my/66925/2/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_scopus.pdf
first_indexed	2023-09-18T21:35:01Z
last_indexed	2023-09-18T21:35:01Z
_version_	1777412762886995968

Towards an accurate speaker-independent Holy Quran acoustic model

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