Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection Cover

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Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection

Measurement Science Review

Volume 23 (2023): Issue 6 (December 2023)

By: Ondřej Klempíř, David Příhoda and Radim Krupička

Open Access

|Nov 2023

Authors

Ondřej Klempíř

klempond@gmail.com

Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic

David Příhoda

Department of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and Technology, Czech Republic

Radim Krupička

Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic

DOI: https://doi.org/10.2478/msr-2023-0033 | Journal eISSN: 1335-8871

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Language: English

Page range: 260 - 267

Submitted on: Jun 1, 2023

|

Accepted on: Oct 17, 2023

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Published on: Nov 17, 2023

Published by: Slovak Academy of Sciences, Institute of Measurement Science

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

Classification,

features embedding,

Parkinson's disease,

Related subjects:

Electrical engineering,

Control engineering, metrology and testing

© 2023 Ondřej Klempíř, David Příhoda, Radim Krupička, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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