An LLM-driven multi-task system reports a 5.45% CER and 73.63% average SED F1 on the AS-70 Mandarin stuttering benchmark, though key baselines and uncertainty are missing.
Enhanced asr for stuttering speech: Combining adversarial and signal-based data augmentation,
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Leveraging LLM for Stuttering Speech: A Unified Architecture Bridging Recognition and Event Detection
An LLM-driven multi-task system reports a 5.45% CER and 73.63% average SED F1 on the AS-70 Mandarin stuttering benchmark, though key baselines and uncertainty are missing.