Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation
In the process of learning Quran, reciters should have the provisions of Tajweed rules when reading the Quran. This study provides a research related to Quran that can assist and ensure proper pronunciation, readings and interpretations in proper Quranic recitation rules based on the speech reco...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62847/ http://irep.iium.edu.my/62847/1/62847-Holy%20Qur%E2%80%99an%20Speech%20Recognition%20System.pdf http://irep.iium.edu.my/62847/2/62847-Holy%20Qur%E2%80%99an%20Speech%20Recognition%20System%20SCOPUS.pdf |
| _version_ | 1848785919684902912 |
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| author | Yousfi, Bilal Zeki, Akram M. |
| author_facet | Yousfi, Bilal Zeki, Akram M. |
| author_sort | Yousfi, Bilal |
| building | IIUM Repository |
| collection | Online Access |
| description | In the process of learning Quran, reciters should
have the provisions of Tajweed rules when reading the Quran.
This study provides a research related to Quran that can assist
and ensure proper pronunciation, readings and interpretations in
proper Quranic recitation rules based on the speech recognition
where reciters can distinguish and recognize and correct during
their recitation the pronunciation of Imaalah (Tajweed rules) for
Warsh recitation type. In this research, speech samples form
reciters is used to compare with the sample recitation features
collected from expert reciters that have been stored in the
database. The collected samples are analysed by using preprocessing
techniques. The sound features are extracted during
the features extraction using the well-known algorithm which is
Mel-Frequency Cepstral Coefficient (MFCC). Subsequently,
after features extraction, a classification algorithm (Hidden
Markov Models (HMM)) is employed to compare the features
extracted in real-time with that available in the knowledge base. |
| first_indexed | 2025-11-14T17:00:48Z |
| format | Proceeding Paper |
| id | iium-62847 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:00:48Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-628472018-06-27T08:40:13Z http://irep.iium.edu.my/62847/ Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation Yousfi, Bilal Zeki, Akram M. T Technology (General) In the process of learning Quran, reciters should have the provisions of Tajweed rules when reading the Quran. This study provides a research related to Quran that can assist and ensure proper pronunciation, readings and interpretations in proper Quranic recitation rules based on the speech recognition where reciters can distinguish and recognize and correct during their recitation the pronunciation of Imaalah (Tajweed rules) for Warsh recitation type. In this research, speech samples form reciters is used to compare with the sample recitation features collected from expert reciters that have been stored in the database. The collected samples are analysed by using preprocessing techniques. The sound features are extracted during the features extraction using the well-known algorithm which is Mel-Frequency Cepstral Coefficient (MFCC). Subsequently, after features extraction, a classification algorithm (Hidden Markov Models (HMM)) is employed to compare the features extracted in real-time with that available in the knowledge base. IEEE 2017 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/62847/1/62847-Holy%20Qur%E2%80%99an%20Speech%20Recognition%20System.pdf application/pdf en http://irep.iium.edu.my/62847/2/62847-Holy%20Qur%E2%80%99an%20Speech%20Recognition%20System%20SCOPUS.pdf Yousfi, Bilal and Zeki, Akram M. (2017) Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation. In: IEEE 13th International Colloquium on Signal Processing & its Application (CSPA 2017), 10th – 12th March 2017, Penang, Malaysia. http://ieeexplore.ieee.org/document/8064962/ 10.1109/CSPA.2017.8064962 |
| spellingShingle | T Technology (General) Yousfi, Bilal Zeki, Akram M. Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation |
| title | Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation |
| title_full | Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation |
| title_fullStr | Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation |
| title_full_unstemmed | Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation |
| title_short | Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation |
| title_sort | holy qur'an speech recognition system imaalah checking rule for warsh recitation |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/62847/ http://irep.iium.edu.my/62847/ http://irep.iium.edu.my/62847/ http://irep.iium.edu.my/62847/1/62847-Holy%20Qur%E2%80%99an%20Speech%20Recognition%20System.pdf http://irep.iium.edu.my/62847/2/62847-Holy%20Qur%E2%80%99an%20Speech%20Recognition%20System%20SCOPUS.pdf |