Automated Detection and Consistency Analysis of Tajweed Recitation Rules in the Holy Quran

Precise Recitation of Holy Quran is a religious duty that must be performed with great care. Tajweed rules are constructed to guide the reader to utter the Holy Quran text as it was originally uttered by prophet Muhammad. An automatic pattern detection algorithm is implemented to allocate basic Tajweed rules. The rules addressed in this paper, are Madd, Noon Sakinah, Tanween and Meem Sakinah rules. These rules are characterized by well-defined uttered style. The rules studied in this paper, were allocated at 487 positions in forty verses of Surat El-Anfal of Sheikh El-Hosary's recitation. Data related to each detected rule was saved in a script file for further processing. The consistency analysis of the rules' uttered durations is performed to evaluate the performance of the reader. The results obtained Natural Madd and Noon Sakinah and Tanween rules achieved a consistency range of (0.71 to 0.90) and (0.89 to 1.17) respectively of the detected patterns. © 2022 IEEE.