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: | Conference or Workshop Item |
| 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/ 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 |
| Summary: | 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. |
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