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Published April 26, 2024 | Version v1 Presentation Open This paper introduces an innovative methodology developed within the Homo Medicinalis (HoMed) project for adapting automatic speech recognition (ASR) models to handle sensitive audio data domains, specifically focusing on privacy-sensitive patient-provider medical consultations.
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