Mahmoud I. Khalil

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning

This work introduces a 98% automated pipeline to produce high-quality Quranic datasets and presents a novel ASR-based approach for pronunciation error detection utilizing the authors' custom Quran Phonetic Script (QPS) to encode Tajweed rules (unlike the IPA standard for Modern Standard Arabic).