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Vocal tract shape estimation and analysis of the quranic letters articulated from the deep throat

Altalmas, Tareq, M. and Sediono, Wahju and Ahmad, Salmiah and Nik Hashim, Nik Nur Wahidah and Rashid, Muhammad Mahbubur (2020) Vocal tract shape estimation and analysis of the quranic letters articulated from the deep throat. Technology Reports of Kansai University, 62 (11). pp. 6407-6418. ISSN 0453-2198

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Abstract

Recitation of the Quranic verses correctly is an important deed for Muslims. To attain an accurate recitation of Quran, it is important to master the pronunciations technique of the Arabic letters. The traditional way of teaching and learning al-Quran is time consuming and requires a teacher who are expert in Quranic recitation to guide on the correct pronunciation of Makhraj and proper Tajweed, which mostly is done face-to-face. It is significant to provide an interactive platform to assist the teachers as well as expediting the students. This is proposed through the vocal tract shape estimation based on linear predictive analysis (LPC) of speech that can provide a visualized feedback to students during the practice session. This paper conducts the linear prediction analysis to estimate the vocal tract shape on two Arabic letters that are articulated from the deepest part of the throat. The results show that the vocal tract shape can be estimated using linear prediction analysis for these two letters and the shapes are similar to the 2D validated model that is used in the Quranic teaching.

Item Type: Article (Journal)
Additional Information: 4113/87172
Uncontrolled Keywords: Vocal tract area function, linear prediction analysis, vocal tract shape estimation, tajweed
Subjects: T Technology > T Technology (General) > T173.5 Technology and Islam
T Technology > TA Engineering (General). Civil engineering (General) > TA365 Acoustics in engineering. Acoustical engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Salmiah Ahmad
Date Deposited: 06 Jan 2021 10:11
Last Modified: 25 Jan 2021 10:29
URI: http://irep.iium.edu.my/id/eprint/87172

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