Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection
, e
17 nov 2023
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 17 nov 2023
Pagine: 260 - 267
Ricevuto: 01 giu 2023
Accettato: 17 ott 2023
DOI: https://doi.org/10.2478/msr-2023-0033
Parole chiave
© 2023 Ondřej Klempíř et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Klempíř, Ondřej
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno, Czech Republic
Příhoda, David
Department of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and TechnologyCzech Republic
Krupička, Radim
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno, Czech Republic