Noor Jamaliah Ibrahim

The Problems, Issues and Future Challenges of Automatic Speech Recognition for Quranic verse Recitation: A Review

Research into Automatic Speech Recognition ( ASR ) software for the Arabic language has gained significance in recent years. Since the Qurʾan is in Arabic, the rendering of it into Arabic ASR may appear difficult and quite challenging. Furthermore, the way in which any Qurʾanic verse is recited can differ from one person to another, as can even the same āya (verse), as this is totally dependent on the reciters’ level of understanding of tajwīd (pronunciation rules while reading the recitation of the Qurʾan) while delivering the āya . In this paper, we provide a comprehensive review of the challenges for developing Qurʾanic verse recitation recognition software, focused on the tajwīd rules for checking features and language. Other related issues that fall under Qurʾanic linguistic aspects and properties, including recitation errors (common/possible mistakes made while reading) of passages, are also discussed in this paper. Further areas of potential expansion, new ideas, and new areas of research for supporting Qurʾanic learning for the Muslim community are also explored and identified. Thus, this paper will allow the field to be expanded and developed, all of which focusses on improving Qurʾanic learning process through a talaqqī and mushāfaha method of Qurʾan recitation.