Makhraj Recognition for Al-Quran Recitation using MFCC

Abstract

This article presents a new application of recitation verification based on correct makhraj. Traditionally, people learn how to recite al-Quran correctly from an expert where it takes lots of time and effort. 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 experiment has been setup to measure the system performance in terms of accuracy based on False Reject Rate (FRR) and Wrong Recognition (WR).