Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation (2026.eacl-industry)
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| Challenge: | Existing ASR models struggle with high word error rates (WER) on clinical vocabulary, especially medication names. |
| Approach: | They propose to generate doctor-patient dialogues in both text and audio formats using a curated set of over 124,000 medical terms. |
| Outcome: | The proposed pipeline generated over 1 billion audios with ground truth transcriptions. |
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