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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848786666945249280 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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%. |
| first_indexed | 2025-11-14T17:12:40Z |
| format | Proceeding Paper |
| id | iium-66925 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:12:40Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Towards an accurate speaker-independent Holy Quran acoustic model |
| title_sort | towards an accurate speaker-independent holy quran acoustic model |
| topic | QA76 Computer software TA365 Acoustics in engineering. Acoustical engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| 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 |