A multi-pass LLM architecture alternating speaker and word recognition passes yields significant WDER reductions on French suicide prevention conversations while remaining stable on neurosurgery consultations using Qwen3-Next-80B.
The sound of healthcare: Improving medical transcription asr accuracy with large language models
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A survey that classifies non-intrusive ASR refinement methods into five categories, reviews domain adaptation and evaluation datasets, proposes standardized metrics, and identifies future research directions.
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Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization
A multi-pass LLM architecture alternating speaker and word recognition passes yields significant WDER reductions on French suicide prevention conversations while remaining stable on neurosurgery consultations using Qwen3-Next-80B.
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Non-Intrusive Automatic Speech Recognition Refinement: A Survey
A survey that classifies non-intrusive ASR refinement methods into five categories, reviews domain adaptation and evaluation datasets, proposes standardized metrics, and identifies future research directions.