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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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Bibliographic Details
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
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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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