Improve Design for Automated Tajweed Checking Rules Engine of Quranic Verse Recitation: A Review

Abstract

Generally, reliable speech recognition is a hard problem that required a combination solution of many techniques. Thus, the combinations of Al-Quran with speech recognition system is quite challenging task to be implemented. It is because the Quran sound, which had been recited by most of reciters will probably tend to differ a lot from one person to another. Although those Quranic sentences were particularly taken from the same verse, but the way of the sentence in Al-Quran been recited or delivered may be different, depend on reciters with the different levels of understanding of Tajweed rules. This paper seeks to provide a comprehensive review of recent research of Quranic verse recitation recognition, focused on the tajweed rules checking techniques, algorithms, the advantages, and drawbacks of the previous systems proposed by researchers. Any difficulties that arise in dealing with different types of algorithms and approaches are discussed, due to improve the existing design of automated Tajweed checking rules engine, which had been invented in our previous research. Areas with potential of further expansion are identified for future research in supporting the j-QAF learning.