#artificial intelligence
Aug 2025
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).
Abdullah Abdelfattah, Mahmoud I. Khalil, Hazem M. Abbas
· arXiv.org · 1 citation