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 |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | http://eprints.utm.my/106606/1/MohdShahrizalSunar2023_RuleBasedEmbeddedHMMsPhonemeClassification.pdf http://eprints.utm.my/106606/ http://dx.doi.org/10.3390/electronics12010176 |
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