The authors release a rule-based Quran Phonetic Script, an 890-hour expert recitation dataset, and a multi-head CTC model that achieves 0.16% average phoneme error rate on held-out reciters.
The tarteel dataset: crowd-sourced and labeled quranic recitation,
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Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning
The authors release a rule-based Quran Phonetic Script, an 890-hour expert recitation dataset, and a multi-head CTC model that achieves 0.16% average phoneme error rate on held-out reciters.