Rule-based embedded HMMs phoneme classification to improve Qur’anic recitation recognition
Phoneme classification performance is a critical factor for the successful implementation of a speech recognition system. A mispronunciation of Arabic short vowels or long vowels can change the meaning of a complete sentence. However, correctly distinguishing phonemes with vowels in Quranic recitati...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/102459/1/102459_Rule-based%20embedded%20HMMs%20Phoneme%20Classification.pdf http://irep.iium.edu.my/102459/7/102459_Rule-based%20embedded%20HMMs%20phoneme%20classification_SCOPUS.pdf http://irep.iium.edu.my/102459/ https://www.mdpi.com/2079-9292/12/1/176/pdf?version=1672395066 https://doi.org/10.3390/electronics12010176 |
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