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Automated tajweed checking rules engine for Quranic learning

Automated tajweed checking rules engine for Quranic learning Purpose – The purpose of this paper is to provide a structural overview of speech recognition system for developing Quranic verse recitation recognition with tajweed checking rules function. This function has been introduced, due to support the existing and manual method of talaqqi and musyafahah method in Quranic learning process, which described as face‐to‐face learning process between students and teachers. Here, the process of listening, correction and repetition of the correct Al‐Quran recitation took place in real‐time condition. However, this method is believed to become less effective and unattractive to be implemented, especially towards the young Muslim generation who are more attracted to the latest technology. Design/methodology/approach – This paper focuses on the development of software prototype, mainly for developing an automated Tajweed checking rules engine, purposely for Quranic learning. It has been implemented and tested towards the j‐QAF students at primary school in Malaysia. Findings – The paper provides empirical insight about the viability and implementation of Mel‐frequency cepstral coefficients (MFCC) algorithm of feature extraction technique and hidden Markov model (HMM) classification for recognition part, with the results of recognition rate reached to 91.95 percent (ayates) and 86.41 percent (phonemes), after been tested on sourate Al‐Fatihah . Originality/value – Based on the result, proved that the engine has a potential to be used as an educational tool, which helps the students read Al‐Quran better, even without the presence of teachers (Mudarris)/parents to monitor them. Automated system with Tajweed checking rules capability functions could be another alternative due to support the existing method of manual skills of Quranic learning process, without denying the main role of teachers in teaching Al‐Quran. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multicultural Education & Technology Journal Emerald Publishing

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References (25)

Publisher
Emerald Publishing
Copyright
Copyright © 2013 Emerald Group Publishing Limited. All rights reserved.
ISSN
1750-497X
DOI
10.1108/METJ-03-2013-0012
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to provide a structural overview of speech recognition system for developing Quranic verse recitation recognition with tajweed checking rules function. This function has been introduced, due to support the existing and manual method of talaqqi and musyafahah method in Quranic learning process, which described as face‐to‐face learning process between students and teachers. Here, the process of listening, correction and repetition of the correct Al‐Quran recitation took place in real‐time condition. However, this method is believed to become less effective and unattractive to be implemented, especially towards the young Muslim generation who are more attracted to the latest technology. Design/methodology/approach – This paper focuses on the development of software prototype, mainly for developing an automated Tajweed checking rules engine, purposely for Quranic learning. It has been implemented and tested towards the j‐QAF students at primary school in Malaysia. Findings – The paper provides empirical insight about the viability and implementation of Mel‐frequency cepstral coefficients (MFCC) algorithm of feature extraction technique and hidden Markov model (HMM) classification for recognition part, with the results of recognition rate reached to 91.95 percent (ayates) and 86.41 percent (phonemes), after been tested on sourate Al‐Fatihah . Originality/value – Based on the result, proved that the engine has a potential to be used as an educational tool, which helps the students read Al‐Quran better, even without the presence of teachers (Mudarris)/parents to monitor them. Automated system with Tajweed checking rules capability functions could be another alternative due to support the existing method of manual skills of Quranic learning process, without denying the main role of teachers in teaching Al‐Quran.

Journal

Multicultural Education & Technology JournalEmerald Publishing

Published: Nov 8, 2013

Keywords: Hidden Markov model; Log‐likelihood; Mel‐frequency cepstral coefficient; Quranic learning; Tajweed rules; Talaqqi and musyafahah

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