Universität zu Köln

Thies, Tabea ORCID: 0000-0001-9149-3143, Mallick, Elisa, Tröger, Johannes, Baykara, Ebru, Mücke, Doris ORCID: 0000-0002-6217-3121 and Barbe, Michael T. ORCID: 0000-0003-1149-8054 (2025). Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease. npj Parkinson's Disease, 11. p. 105. Springer Nature. ISSN 2373-8057

PDF s41531-025-00959-4.pdf Download (818kB)

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Thies, Tabea UNSPECIFIED orcid.org/0000-0001-9149-3143 UNSPECIFIED Mallick, Elisa UNSPECIFIED UNSPECIFIED UNSPECIFIED Tröger, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Baykara, Ebru UNSPECIFIED UNSPECIFIED UNSPECIFIED Mücke, Doris doris.muecke@uni-koeln.de orcid.org/0000-0002-6217-3121 UNSPECIFIED Barbe, Michael T. UNSPECIFIED orcid.org/0000-0003-1149-8054 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-788405
DOI:	10.1038/s41531-025-00959-4
Journal or Publication Title:	npj Parkinson's Disease
Volume:	11
Page Range:	p. 105
Date:	2025
Publisher:	Springer Nature
ISSN:	2373-8057
Language:	English
Faculty:	Collaborative Research Centers Faculty of Arts and Humanities Faculty of Medicine
Divisions:	Faculty of Medicine > Neurologie > Klinik und Poliklinik für Neurologie Faculty of Arts and Humanities > Fächergruppe 1: Kunstgeschichte, Musikwissenschaft, Medienkultur und Theater, Linguistik, IDH > Institut für Linguistik > Phonetik Collaborative Research Centers > CRC 1252: Prominence in Language
Subjects:	Social sciences Language, Linguistics Medical sciences Medicine
Open access funding:	DFG
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/78840