Published May 4, 2022
| Version v1
Conference paper
Open
Challenges on the Promising Road to Automatic Speech Recognition of Privacy-Sensitive Dutch Doctor-Patient Consultation Recordings
Creators
- 1. Utrecht University
- 2. Radboud University
- 3. Sound & Vision
- 4. Nivel
- 5. University of Twente
Description
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.
Files
DHBenelux2022_HoMed_May2022.pdf
Files
(109.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:6b5cd986ba0a0dc609378918b9a8eb2c
|
109.3 kB | Preview Download |