Challenges on the Promising Road to Automatic Speech Recognition of Privacy-Sensitive Dutch Doctor-Patient Consultation Recordings
In this paper we present the currently running PDI-SSH project Homo Medicinalis (HoMed), in which we use machine learning to build an Automatic Speech Recognition (ASR) infrastructure for disclosing privacy-sensitive doctor-patient consultation recordings.
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| Dokumenttyp: | conferencePaper |
| Erscheinungsdatum: | 2022 |
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Zenodo
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| Schlagwörter: | Automatic Speech Recognition / domain adaptation / language modeling / machine learning / medical discourse / data sensitivity |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29050110 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://doi.org/10.5281/zenodo.6517157 |
