PriMock57: A Dataset Of Primary Care Mock Consultations
Babylon（巴比伦医疗）；University of Aberdeen（阿伯丁大学）
英文摘要：
Recent advances in Automatic Speech Recognition (ASR) have made it possible to reliably produce automatic transcripts of clinician-patient conversations. However, access to clinical datasets is heavily restricted due to patient privacy, thus slowing down normal research practices. We detail the development of a public access, high quality dataset comprising of57 mocked primary care consultations, including audio recordings, their manual utterance-level transcriptions, and the associated consultation notes. Our work illustrates how the dataset can be used as a benchmark for conversational medical ASR as well as consultation note generation from transcripts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
