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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62891/ http://irep.iium.edu.my/62891/ http://irep.iium.edu.my/62891/ 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 |
| Summary: | 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. |
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