A new public benchmark for Arabic mispronunciation detection using Quranic recitation, with baseline models reaching F1 scores below 30%.
Key trends emerge in mul- tilingual capability, synthetic data utility, and task complexity
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Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study
A new public benchmark for Arabic mispronunciation detection using Quranic recitation, with baseline models reaching F1 scores below 30%.