Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment
Automated phoneme-level pronunciation assessment is vital for scalable speech therapy and language learning, yet validated tools for Arabic remain scarce. We present Harf-Speech, a modular system scoring Arabic pronunciation at the phoneme level on a clinical scale. It combines an MSA phonetizer, a fine-tuned speech-to-phoneme model, Levenshtein alignment, and a blended scorer using longest common subsequence and edit-distance metrics. We fine-tune three ASR architectures on Arabic phoneme data and benchmark them with zero-shot multimodal models; the best, OmniASR-CTC-1B-v2, achieves 8.92% phoneme error rate. Three certified speech-language pathologists independently scored 40 utterances ...
| Authors | Asif Azad, MD Sadik Hossain Shanto, Mohammad Sadat Hossain et al. |
|---|---|
| Primary category | eess.AS |
| Published | 11 March 2026 |
| Last updated at source | 19 June 2026 |
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