Testing Sphinx’s language model fault-tolerance for the Holy Quran
The Carnegie Mellon University’s (CMU) Sphinx framework is increasingly used for the Arabic speech recognition in general and applied to the Holy Quran in particular. Generating the language model includes a tedious task of preparing the transcriptions for all the data. In this paper, we investigat...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
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The Institute of Electrical and Electronics Engineers, Inc.
2017
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| Online Access: | http://irep.iium.edu.my/54937/ http://irep.iium.edu.my/54937/1/54893_A%20Practical%20and%20Interactive%20%20Web-based.pdf http://irep.iium.edu.my/54937/12/54937_Testing%20Sphinx%E2%80%99s%20language_scopus.pdf |
| _version_ | 1848784494325137408 |
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| author | El Amrani, Mohamed Yassine Rahman, M.M. Hafizur Wahiddin, Mohamed Ridza Shah, Asadullah |
| author_facet | El Amrani, Mohamed Yassine Rahman, M.M. Hafizur Wahiddin, Mohamed Ridza Shah, Asadullah |
| author_sort | El Amrani, Mohamed Yassine |
| building | IIUM Repository |
| collection | Online Access |
| description | The Carnegie Mellon University’s (CMU) Sphinx framework is increasingly used for the Arabic speech recognition in general and applied to the Holy Quran in particular. Generating the language model includes a tedious task of preparing the transcriptions for all the data. In this
paper, we investigate the fault-tolerance of the automatically generated language model as compared to a corrected and uncorrected transcription with and without silence tagging. This editing addresses the different repetitions and pauses encountered during recitations. Experiments show that the average difference between the lowest and highest Word Error Rate (WER) for each configuration of the number of Senones is 0.6% when using all files for the training and 1.6% when using 80% of the files for training the language model of 17 chapters of the Holy Quran. Results show that the performance of trained
models without any correction can be close to when all required rectifications of transcriptions are performed. |
| first_indexed | 2025-11-14T16:38:08Z |
| format | Proceeding Paper |
| id | iium-54937 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:38:08Z |
| publishDate | 2017 |
| publisher | The Institute of Electrical and Electronics Engineers, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-549372018-02-04T06:49:47Z http://irep.iium.edu.my/54937/ Testing Sphinx’s language model fault-tolerance for the Holy Quran El Amrani, Mohamed Yassine Rahman, M.M. Hafizur Wahiddin, Mohamed Ridza Shah, Asadullah TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The Carnegie Mellon University’s (CMU) Sphinx framework is increasingly used for the Arabic speech recognition in general and applied to the Holy Quran in particular. Generating the language model includes a tedious task of preparing the transcriptions for all the data. In this paper, we investigate the fault-tolerance of the automatically generated language model as compared to a corrected and uncorrected transcription with and without silence tagging. This editing addresses the different repetitions and pauses encountered during recitations. Experiments show that the average difference between the lowest and highest Word Error Rate (WER) for each configuration of the number of Senones is 0.6% when using all files for the training and 1.6% when using 80% of the files for training the language model of 17 chapters of the Holy Quran. Results show that the performance of trained models without any correction can be close to when all required rectifications of transcriptions are performed. The Institute of Electrical and Electronics Engineers, Inc. 2017-01-16 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/54937/1/54893_A%20Practical%20and%20Interactive%20%20Web-based.pdf application/pdf en http://irep.iium.edu.my/54937/12/54937_Testing%20Sphinx%E2%80%99s%20language_scopus.pdf El Amrani, Mohamed Yassine and Rahman, M.M. Hafizur and Wahiddin, Mohamed Ridza and Shah, Asadullah (2017) Testing Sphinx’s language model fault-tolerance for the Holy Quran. In: 6th International Conference on Information and Communication Technology for the Muslim World (ICT4M 2016), 22nd-24th November 2016, Jakarta, Indonesia. http://ieeexplore.ieee.org/document/7814882/ 10.1109/ICT4M.2016.27 |
| spellingShingle | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices El Amrani, Mohamed Yassine Rahman, M.M. Hafizur Wahiddin, Mohamed Ridza Shah, Asadullah Testing Sphinx’s language model fault-tolerance for the Holy Quran |
| title | Testing Sphinx’s language model fault-tolerance for the Holy Quran |
| title_full | Testing Sphinx’s language model fault-tolerance for the Holy Quran |
| title_fullStr | Testing Sphinx’s language model fault-tolerance for the Holy Quran |
| title_full_unstemmed | Testing Sphinx’s language model fault-tolerance for the Holy Quran |
| title_short | Testing Sphinx’s language model fault-tolerance for the Holy Quran |
| title_sort | testing sphinx’s language model fault-tolerance for the holy quran |
| topic | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/54937/ http://irep.iium.edu.my/54937/ http://irep.iium.edu.my/54937/ http://irep.iium.edu.my/54937/1/54893_A%20Practical%20and%20Interactive%20%20Web-based.pdf http://irep.iium.edu.my/54937/12/54937_Testing%20Sphinx%E2%80%99s%20language_scopus.pdf |