Rule-based embedded HMMs phoneme classification to improve Qur'anic recitation recognition

• Main Authors: Alqadasi, Ammar Mohammed Ali, Sunar, Mohd. Shahrizal, Turaev, Sherzod, Abdulghafor, Rawad, Salam, Md. Sah, Alashbi, Abdulaziz Ali Saleh, Ahmed Salem, Ali, H. Ali, Mohammed A.
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/106606/1/MohdShahrizalSunar2023_RuleBasedEmbeddedHMMsPhonemeClassification.pdf; http://eprints.utm.my/106606/; http://dx.doi.org/10.3390/electronics12010176

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...