Signal-based feature extraction for makhraj emission point classification

• 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

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...