Towards Automating the Evaluation of Holy Quran Recitations: A Pattern Recognition Perspective

The traditional way of learning how to recite Holy Quran is through a method called Talaqqi Musyafahah where students learn face to face from a qualified Quran teacher. As students have limited sessions with Quran teachers, they resort to Computer Aided Learning (CAL) methods to further enhance their quality of recitations. Unfortunately existing applications that aid in CAL don't provide any feedback mechanisms in terms of ratings/scores about the quality of recitations to end users. The benefits of such feedback mechanisms are quite vital to learners of Holy Quran to improve their learning process stage by stage. Till date, the problem of automating evaluation of Holy Quran recitations using computational techniques remains as a open challenge to researchers. In this research we would investigate this potential problem in brief, propose a basic framework based on a pattern recognition perspective to address the problem and report our preliminary results.