Universiti Teknologi Malaysia Institutional Repository

A model of correction mapping for Al-Quran recitation performance evaluation engine

Shafie, N. and Adam, M. Z. and Daud, S. M. and Abas, H. (2019) A model of correction mapping for Al-Quran recitation performance evaluation engine. International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.3). pp. 208-213. ISSN 2278-3091

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Official URL: http://www.dx.doi.org/10.30534/ijatcse/2019/4181.3...


The main objective of the research is to develop the correction-mapping model for Al-Quran recitation performance evaluation engine. Machine learning and Digital Signal Processing techniques are applied in representing and analyzing the recitation speech signal. Consequently, a form of recitation correction results is derived and formulated for the final performance evaluation. The proposed corrective mapping model demonstrated in this paper confronted, but not limited to, with the challenging issues of variability of speaker recitation, recitation representation, speaker adaptation, feature extraction, parameters estimation and threshold process classification. The experimental results concluded the Al-Quran automated correction system knowns as Intelligent Quran Recitation Assistant (nur-IQRA) will be able to fulfil the current and future trends of digital society.

Item Type:Article
Uncontrolled Keywords:correction mapping model, digital speech processing, feature extraction
Subjects:T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:Advanced Informatics School
ID Code:91396
Deposited By: Narimah Nawil
Deposited On:30 Jun 2021 20:16
Last Modified:30 Jun 2021 20:16

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