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Signal-based feature extraction for makhraj emission point classification

Due to the similar sound of one letter to the others, mistakes might happen when pronouncing a hijaiyah letter. The reciter will not read the Quran correctly if they do not understand the relationship between the hijaiyah letter sound and its point of articulation. This study addresses the issue to...

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Bibliographic Details
Main Authors: Nurul Wahidah, Arshad, Mohd Zamri, Ibrahim, Rohana, Abdul Karim, Yasmin, Abdul Wahab, Nor Farizan, Zakaria, Tuan Sidek, Tuan Muda
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
Subjects:
H Social Sciences (General)
Q Science (General)
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41947/1/Signal-based%20feature%20extraction%20for%20makhraj%20emission.pdf
http://umpir.ump.edu.my/id/eprint/41947/2/Signal-based%20feature%20extraction%20for%20makhraj%20emission%20point%20classification_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41947/
https://doi.org/10.1049/icp.2022.2562
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http://umpir.ump.edu.my/id/eprint/41947/1/Signal-based%20feature%20extraction%20for%20makhraj%20emission.pdf
http://umpir.ump.edu.my/id/eprint/41947/2/Signal-based%20feature%20extraction%20for%20makhraj%20emission%20point%20classification_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41947/
https://doi.org/10.1049/icp.2022.2562

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