A Comprehensive Review of AI Applications in Quran Recitation and Tajweed Learning | ||
| International Journal of Theoretical and Applied Research | ||
| Articles in Press, Accepted Manuscript, Available Online from 16 October 2025 PDF (913.95 K) | ||
| Document Type: Review articles | ||
| DOI: 10.21608/ijtar.2025.414755.1141 | ||
| Authors | ||
| Enas E. El-Sharawy1; Doaa R. Fathy* 2 | ||
| 1Mathematics Department, Computer Science Division, Faculty of Science, Al-Azhar University (Girls), Cairo , Egypt. | ||
| 2Mathematics Department, Computer Science Division, Faculty of Science, Al-Azhar University (Girls), Cairo 11651, Egypt. | ||
| Abstract | ||
| The Holy Quran is the holy book for Muslims; reciting it is considered one of the most important and best forms of Islamic worship. Reciters of the Quran must apply a set of pronunciation rules called Tajweed, which dictate how to correctly pronounce letters and words. Learning Tajweed rules is essential yet challenging for many Muslims because it requires a qualified teacher, and access to them is limited due to lack of time, distance from educational centres, or other reasons. This paper presents a Literature Review on how to apply Artificial Intelligence (AI) to automate the process of learning Tajweed rules in Recitation, listening to, and learning the Holy Quran. We also review existing Quran learning applications and research papers on the detection of Quran Recitation mispronunciation using AI tools. The analysis of the literature review identifies limitations such as small datasets, gender bias, a limited set of Tajweed rules, and the evaluation of short Surahs or single verses. It suggests filling a research gap to facilitate Tajweed learning and improve Quran Recitation in an effective way. Future work will include developing and evaluating a new prototype based on enhancing the limitations of previous works. | ||
| Keywords | ||
| Quran; Tajweed; Artificial Intelligence; Speech Recognition; Quran Recitation | ||
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