An Innovative Methodology Utilizing AI-based Automatic Speech Recognition for Transcribing Dutch Patient-Provider Consultation Recordings

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. By utilizing AI and deep learning algorithms, the project successfully addresses GDPR compliance while enhancing ASR technology's performance through domain-specific adaptation. The methodology involves adapting and testing three state-of-the-art ASR models for Dutch using highly sensitive audio-visual recordings, with... Mehr ...