A fusion-aware two-stage framework for mispronunciation detection and diagnosis in low-resource MSA achieves an F1-score of 0.7201 on the QuranMB.v2 test set, a 63.1% relative improvement over baseline and new state-of-the-art in the IqraEval.2 Challenge.
To- wards a unified benchmark for arabic pronunciation assessment: Quranic recitation as case study
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A modular Arabic phoneme-level pronunciation scorer reaches Pearson 0.791 and ICC 0.659 with three SLPs on 40 utterances, with best speech-to-phoneme PER of 8.92%.
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A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic
A fusion-aware two-stage framework for mispronunciation detection and diagnosis in low-resource MSA achieves an F1-score of 0.7201 on the QuranMB.v2 test set, a 63.1% relative improvement over baseline and new state-of-the-art in the IqraEval.2 Challenge.
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Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment
A modular Arabic phoneme-level pronunciation scorer reaches Pearson 0.791 and ICC 0.659 with three SLPs on 40 utterances, with best speech-to-phoneme PER of 8.92%.