AraS2P: Arabic Speech-to-Phonemes System

• URL: http://arxiv.org/abs/2509.23504v1
• Date: Sat, 27 Sep 2025 21:25:20 GMT
• Title: AraS2P: Arabic Speech-to-Phonemes System
• Abstract summary: AraS2P is a speech-to-phonemes system submitted to the Iqra'Eval 2025 Shared Task.<n>We adapted Wav2Vec2-BERT via Two-Stage training strategy.<n>The system ranked first on the official leaderboard.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper describes AraS2P, our speech-to-phonemes system submitted to the Iqra'Eval 2025 Shared Task. We adapted Wav2Vec2-BERT via Two-Stage training strategy. In the first stage, task-adaptive continue pretraining was performed on large-scale Arabic speech-phonemes datasets, which were generated by converting the Arabic text using the MSA Phonetiser. In the second stage, the model was fine-tuned on the official shared task data, with additional augmentation from XTTS-v2-synthesized recitations featuring varied Ayat segments, speaker embeddings, and textual perturbations to simulate possible human errors. The system ranked first on the official leaderboard, demonstrating that phoneme-aware pretraining combined with targeted augmentation yields strong performance in phoneme-level mispronunciation detection.

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