MeDial-Speech provides 111+ hours of spoken medical dialogues from robot-patient and doctor-patient interactions across four conditions, with a 20-option sentence selection benchmark where Claude Sonnet 4 reaches 71-75% accuracy.
MultiMed: Multilingual medical speech recogni- tion via attention encoder decoder,
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A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks
MeDial-Speech provides 111+ hours of spoken medical dialogues from robot-patient and doctor-patient interactions across four conditions, with a 20-option sentence selection benchmark where Claude Sonnet 4 reaches 71-75% accuracy.