Iqra reading verification with mel frequency cepstrum coefficient and dynamic time warping

Abstract

Al-Quran is a holy book of guidance from Allah SWT that was revealed through Prophet Muhammad SAW for Muslims. Muslims should learn to read Al-Quran properly and correctly. One of the methods in learning the Al-Quran is the Iqra method. Iqra method is learning in reading and writing the Al-Quran by using Iqra books delivered classically and individually. Learning methods will continue to be developed to adapt to current conditions. As technology develops today, the method of learning the Al-Quran has also developed, one of which is using sound. In this research, the writer will create a system that verifies the sound of reading the Iqra which is one of the basic methods in learning to read the Al-Quran. The system is designed using the Mel Frequency Cepstrum Coefficient (MFCC) method as a voice feature extension and the Dynamic Time Warping (DTW) method for matching the results of the voice features. In this study, the best accuracy in the Iqra reading sound was found to be 82% with 13 MFCC coefficients.