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

• Main Authors: Mohammed Ali Alqadasi, Ammar, Sunar, Mohd Shahrizal, Turaev, Sherzod, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Salam, Md Sah, Alashbi, Abdulaziz Ali Saleh, Ahmed Salem, Ali, Ali, Mohammed A. H.
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2022
• Subjects: T Technology (General)
• 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

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...