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The modeling of the Quranic alphabets’ correct pronunciation for adults and children experts

Ahmad, Salmiah and Syed Badruddin, Syarifah Nuratikah and Nik Hashim, Nik Nur Wahidah and Embong, Abd Halim and Altalmas, Tareq, M. and Shahbudin Hassan, Surul (2019) The modeling of the Quranic alphabets’ correct pronunciation for adults and children experts. In: 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), 1st-3rd May 2019, Riyadh, Kingdom of Saudi Arabia.

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Abstract

The Quranic alphabets can be characterized from their point of articulation (Makhaarij) and their characteristics (Sifaat). The fact is that there is limited research in the field of Tajweed from the engineering perspective. This research focused on the identification and analysis of the correct pronunciation of the Quranic alphabets on the features obtained from adult and children experts. The combination of four formant frequencies (F1, F2, F3, F4) and three Power Spectral Density values (PSD1, PSD2, PSD3) were used as the features to represent the pronunciation of each alphabet for both categories. The validation was done through a Graphical User Interface (GUI) to record the new audio signal, processes and produces the outcomes of the pronunciation in the form of a percentage (%) of accuracy, as compared to the reference model of both experts’ categories.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 4113/74968
Uncontrolled Keywords: Linear Discriminant Analysis (LDA), Tajweed, Identification, Formant Frequency, Power Spectral Density (PSD)
Subjects: L Education > LC Special aspects of education > LC905 Islamic Education
T Technology > T Technology (General) > T173.5 Technology and Islam
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Centre for Languages and Pre-University Academic Development (CELPAD)
Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Ir. Dr. Salmiah Ahmad
Date Deposited: 04 Nov 2019 09:45
Last Modified: 04 Nov 2019 09:45
URI: http://irep.iium.edu.my/id/eprint/74968

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