Detection of Pathological Voice Samples Using a Text-to-Speech–Inspired Approach With Multiple Model Architectures: Method Development and Comparative Evaluation Study
Detection of Pathological Voice Samples Using a Text-to-Speech–Inspired Approach With Multiple Model Architectures: Method Development and Comparative Evaluation Study
Marie Sophie Walter
1, 2
* , Msc ;
Muhittin Demir
3
* ;
Mattias Heinrich
4
, Dr ;
Felix Nensa
1, 2
, Dr med ;
Stephan Lang
3
, Dr med ;
Nadia Sadok
3
* , MD, PhD ;
René Hosch
1, 2
* , Dr rer medic
1
Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
2
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany
3
Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
4
University of Lübeck, Institute of Medical Informatics, Lübeck, Germany
*these authors contributed equally
Corresponding Author:
-
René Hosch, Dr rer medic
-
Institute of Diagnostic and Interventional Radiology and Neuroradiology
-
University Hospital Essen
-
Hufefelandstraße 55
-
Essen 45147
-
Germany
-
Phone:
49 20172377817
-
Email: rene.hosch@uk-essen.de