Cover Image

Isolated Iqlab checking rules based on speech recognition system

The act of learning and teaching of the Qur’an is the most important science for Muslim. The teacher and learner in this area they should have the provisions of tajweed rules when reading the Qur’an. There are numerous efforts made by previous systems on the development of feasible guiding tech...

Full description

Saved in:
Bibliographic Details
Main Authors: Yousfi, Bilal, Zeki, Akram M., Haji, Aminah
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2017
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/62891/1/62891%20Isolated%20Iqlab%20Checking%20Rules%20based%20on%20Speech%20Recognition%20System.pdf
http://irep.iium.edu.my/62891/2/62891%20Isolated%20Iqlab%20Checking%20Rules%20based%20on%20Speech%20SCOPUS.pdf
http://irep.iium.edu.my/62891/
http://ieeexplore.ieee.org/document/8080068/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.62891
record_format dspace
spelling my.iium.irep.62891 http://irep.iium.edu.my/62891/ Isolated Iqlab checking rules based on speech recognition system Yousfi, Bilal Zeki, Akram M. Haji, Aminah T Technology (General) The act of learning and teaching of the Qur’an is the most important science for Muslim. The teacher and learner in this area they should have the provisions of tajweed rules when reading the Qur’an. There are numerous efforts made by previous systems on the development of feasible guiding techniques to the act of Tajweed. However, liking the major control variables of the practices of Tajweed in those approaches were neglected. As a way to fill this gap. This research will present a speech recognition system to recognize and identify the rules of Iqlab (Ώϼϗϻ΍). The proposed system will be capable of recognizing, identify and point out the mismatch of the iqlab rules for the verses contains the rules which made by the expert teachers stored in a database. In addition, in this research will use Mel-Frequency Cepstral Coefficient (MFCC) and Hidden Markov Models (HMM) as feature extraction and feature classification respectively. IEEE 2017-10-23 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62891/1/62891%20Isolated%20Iqlab%20Checking%20Rules%20based%20on%20Speech%20Recognition%20System.pdf application/pdf en http://irep.iium.edu.my/62891/2/62891%20Isolated%20Iqlab%20Checking%20Rules%20based%20on%20Speech%20SCOPUS.pdf Yousfi, Bilal and Zeki, Akram M. and Haji, Aminah (2017) Isolated Iqlab checking rules based on speech recognition system. In: 2017 8th International Conference on Information Technology (ICIT), 17th-18th May 2017, Amman, Jourdan. http://ieeexplore.ieee.org/document/8080068/ 10.1109/ICITECH.2017.8080068
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Yousfi, Bilal
Zeki, Akram M.
Haji, Aminah
Isolated Iqlab checking rules based on speech recognition system
description The act of learning and teaching of the Qur’an is the most important science for Muslim. The teacher and learner in this area they should have the provisions of tajweed rules when reading the Qur’an. There are numerous efforts made by previous systems on the development of feasible guiding techniques to the act of Tajweed. However, liking the major control variables of the practices of Tajweed in those approaches were neglected. As a way to fill this gap. This research will present a speech recognition system to recognize and identify the rules of Iqlab (Ώϼϗϻ΍). The proposed system will be capable of recognizing, identify and point out the mismatch of the iqlab rules for the verses contains the rules which made by the expert teachers stored in a database. In addition, in this research will use Mel-Frequency Cepstral Coefficient (MFCC) and Hidden Markov Models (HMM) as feature extraction and feature classification respectively.
format Conference or Workshop Item
author Yousfi, Bilal
Zeki, Akram M.
Haji, Aminah
author_facet Yousfi, Bilal
Zeki, Akram M.
Haji, Aminah
author_sort Yousfi, Bilal
title Isolated Iqlab checking rules based on speech recognition system
title_short Isolated Iqlab checking rules based on speech recognition system
title_full Isolated Iqlab checking rules based on speech recognition system
title_fullStr Isolated Iqlab checking rules based on speech recognition system
title_full_unstemmed Isolated Iqlab checking rules based on speech recognition system
title_sort isolated iqlab checking rules based on speech recognition system
publisher IEEE
publishDate 2017
url http://irep.iium.edu.my/62891/1/62891%20Isolated%20Iqlab%20Checking%20Rules%20based%20on%20Speech%20Recognition%20System.pdf
http://irep.iium.edu.my/62891/2/62891%20Isolated%20Iqlab%20Checking%20Rules%20based%20on%20Speech%20SCOPUS.pdf
http://irep.iium.edu.my/62891/
http://ieeexplore.ieee.org/document/8080068/
_version_ 1643617099218681856
score 13.211869

Similar Items