Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation
Abstract— The act of learning and teaching of the Holy Quran has become a scientific practice to Muslims around. The stakeholders are face with a huge challenge when it comes to the principle of application of Tajweed (that is, the rules guiding the pronunciation during recitation of the Quran). Th...
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Sukkur IBA University
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doaj-ae4af4cb7f674f5d919c0f57a12b73612021-08-31T08:30:12ZengSukkur IBA UniversitySukkur IBA Journal of Computing and Mathematical Sciences2520-07552522-30032018-06-0121Holy Qur'an Speech Recognition System Distinguishing The Type of prolongationBilal Yousfi0Akram M. Zeki1Aminah Haji2Kulliyyah of Information and Communication Technology (KICT), International Islamic University MalaysiaKulliyyah of Information and Communication Technology (KICT), International Islamic University MalaysiaKulliyyah of Information and Communication Technology (KICT), International Islamic University Malaysia Abstract— The act of learning and teaching of the Holy Quran has become a scientific practice to Muslims around. The stakeholders are face with a huge challenge when it comes to the principle of application of Tajweed (that is, the rules guiding the pronunciation during recitation of the Quran). There are several efforts made by previous systems on the development of feasible guiding techniques to the act of Tajweed. Unfortunately, liking the major control variables of the practices of Tajweed in those approaches were neglected. In order to fill this gap, this research present a speech recognition system that distinguishes the types of Madd (elongate tone) or prolongation and the type of Qira’at (method of recitation) related to Madd. The proposed system is capable of recognising, identifying, pointing out the mismatch and discriminate between two types of Madd namely, The Soft Lengthening المد اللين and The Exchange Prolongation مد البدل rules for Hafss and Warsh for the verses contains the two rules, that were made by the expert found in a database. Furthermore, this study used Mel-Frequency Cepstral Coefficient (MFCC) and Hidden Markov Models (HMM) as feature extraction and feature classification respectively http://localhost:8089/sibajournal/index.php/sjcms/article/view/61componentHoly QuranTajweedQira’atSoundMel-Frequency |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bilal Yousfi Akram M. Zeki Aminah Haji |
spellingShingle |
Bilal Yousfi Akram M. Zeki Aminah Haji Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation Sukkur IBA Journal of Computing and Mathematical Sciences component Holy Quran Tajweed Qira’at Sound Mel-Frequency |
author_facet |
Bilal Yousfi Akram M. Zeki Aminah Haji |
author_sort |
Bilal Yousfi |
title |
Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation |
title_short |
Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation |
title_full |
Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation |
title_fullStr |
Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation |
title_full_unstemmed |
Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation |
title_sort |
holy qur'an speech recognition system distinguishing the type of prolongation |
publisher |
Sukkur IBA University |
series |
Sukkur IBA Journal of Computing and Mathematical Sciences |
issn |
2520-0755 2522-3003 |
publishDate |
2018-06-01 |
description |
Abstract— The act of learning and teaching of the Holy Quran has become a scientific practice to Muslims around. The stakeholders are face with a huge challenge when it comes to the principle of application of Tajweed (that is, the rules guiding the pronunciation during recitation of the Quran). There are several efforts made by previous systems on the development of feasible guiding techniques to the act of Tajweed. Unfortunately, liking the major control variables of the practices of Tajweed in those approaches were neglected. In order to fill this gap, this research present a speech recognition system that distinguishes the types of Madd (elongate tone) or prolongation and the type of Qira’at (method of recitation) related to Madd. The proposed system is capable of recognising, identifying, pointing out the mismatch and discriminate between two types of Madd namely, The Soft Lengthening المد اللين and The Exchange Prolongation مد البدل rules for Hafss and Warsh for the verses contains the two rules, that were made by the expert found in a database. Furthermore, this study used Mel-Frequency Cepstral Coefficient (MFCC) and Hidden Markov Models (HMM) as feature extraction and feature classification respectively
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topic |
component Holy Quran Tajweed Qira’at Sound Mel-Frequency |
url |
http://localhost:8089/sibajournal/index.php/sjcms/article/view/61 |
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AT bilalyousfi holyquranspeechrecognitionsystemdistinguishingthetypeofprolongation AT akrammzeki holyquranspeechrecognitionsystemdistinguishingthetypeofprolongation AT aminahhaji holyquranspeechrecognitionsystemdistinguishingthetypeofprolongation |
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