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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.16555 |
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| _version_ | 1866914571302731776 |
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| author | Wu, Ke Variani, Ehsan Bagby, Tom Reddy, Shashir Pilgrim, Rory |
| author_facet | Wu, Ke Variani, Ehsan Bagby, Tom Reddy, Shashir Pilgrim, Rory |
| contents | We present MedASR, an open-source 105M-parameter model engineered for high-accuracy medical dictation. Prioritizing a "small, fast, and accurate" design, MedASR addresses 3 core pillars (1) Data: overcoming clinical corpora scarcity and class imbalance; (2) Modeling: efficient long-form training; and (3) Inference: accurate transcription via a pseudo-streaming sliding-window approach. Our evaluation shows that MedASR achieves a 58% relative WER reduction on Eye Gaze compared to Whisper Large-v3. By open-sourcing MedASR, we provide a transparent, high-performance backbone for specialized health-care applications, breaking down the barriers to clinical documentation often obscured by proprietary systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_16555 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MedASR: An Open-Source Model for High-Accuracy Medical Dictation Wu, Ke Variani, Ehsan Bagby, Tom Reddy, Shashir Pilgrim, Rory Audio and Speech Processing We present MedASR, an open-source 105M-parameter model engineered for high-accuracy medical dictation. Prioritizing a "small, fast, and accurate" design, MedASR addresses 3 core pillars (1) Data: overcoming clinical corpora scarcity and class imbalance; (2) Modeling: efficient long-form training; and (3) Inference: accurate transcription via a pseudo-streaming sliding-window approach. Our evaluation shows that MedASR achieves a 58% relative WER reduction on Eye Gaze compared to Whisper Large-v3. By open-sourcing MedASR, we provide a transparent, high-performance backbone for specialized health-care applications, breaking down the barriers to clinical documentation often obscured by proprietary systems. |
| title | MedASR: An Open-Source Model for High-Accuracy Medical Dictation |
| topic | Audio and Speech Processing |
| url | https://arxiv.org/abs/2605.16555 |