Makhraj recognition using speech processing

This paper present new application of recitation verification based on correct makhraj. Traditionally, people have learned from the expert person to recite al-Quran correctly with a long duration. In this work, a new way to learn reciting the al-Quran is proposed in order to reduce the duration of l...

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Bibliographic Details
Main Authors: Wahidah, A. N., Suriazalmi, M. S., Niza, M. L., Rosyati, H., Faradila, N., Hasan, A., Rohana, A. K., Farizan, Z. N.
Format: Conference Proceeding
Language:English
Subjects:
Mean Square Error (MSE)
Mel Feequency Cepstrum Coefficient (MFCC)
Speech Processing
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Summary:This paper present new application of recitation verification based on correct makhraj. Traditionally, people have learned from the expert person to recite al-Quran correctly with a long duration. In this work, a new way to learn reciting the al-Quran is proposed in order to reduce the duration of learning from the expert. A system using Mel Frequency Cepstrum Coefficient (MFCC) as feature extraction and Mean Square Error (MSE) as a pattern matching technique is considered in order to develop a makhraj recognition system. An experimental setup trying to measure the system performance in terms of accuracy based on False Reject Rate (FRR) and Wrong Recognition (WR). The FRR obtained is 0% and gives 100% of accuracy.