Signal-based feature extraction for makhraj emission point classification

Nurul Wahidah, Arshad and Mohd Zamri, Ibrahim and Rohana, Abdul Karim and Yasmin, Abdul Wahab and Nor Farizan, Zakaria and Tuan Sidek, Tuan Muda (2022) Signal-based feature extraction for makhraj emission point classification. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 19-25., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)

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Abstract

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 recognize the nine points of articulation (throat, uvular, molar, palatal, alveolar, dental, alveolar dental, lip, and interdental) from makhraj recitation using speech processing technique. As much as 181 non-distributive audio samples recorded in control environment. The input speech is a sukun combination of the Hijaiyah letter from an expert reciter. The research uses 5 type of signal-based feature extraction methods (MFCC, chroma, Mel spectrogram, spectral contract, and Tonnetz) and three type of classification methods (ANN, kNN, and SVM). The result shows the proposed method obtained a fair accuracy with the highest accuracy is 56% using ANN.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Speech processing; Makhraj recognition; Makhraj articulation; MFCC
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Center for Human Sciences Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Aug 2024 00:21
Last Modified:	30 Aug 2024 00:21
URI:	http://umpir.ump.edu.my/id/eprint/41947
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