Quantitative Analysis of Vocal Tract Resonances in Patients with Parkinson’s Disease
Loading...
Date
2024
Authors
Kováč, Daniel
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Altmetrics
Abstract
Parkinson’s disease (PD) is often associated with hypokinetic dysarthria, impacting speech-motor function and resulting in articulatory deficits such as reduced speech intelligibility due to stiffness in articulatory structures. This study aims to introduce novel speech metrics to assess articulation impairments and differentiate between healthy individuals and those with PD. Resonant frequency attenuation (RFA) was confirmed as a valid measure, and two additional acoustic features based on supraglottic resonances were proposed. Their efficacy in distinguishing between groups was evaluated using a dataset comprising 19 healthy controls (HC) and 28 PD patients. Significantly divergent values between PD and HC were observed for all three features via Student’s t-test. Employing logistic regression with leave-one-out cross-validation, PD classification achieved 96% sensitivity and 100% specificity. This preliminary study suggests that supraglottic resonances could be pivotal in aiding PD diagnosis through acoustic speech analysis.
Description
Citation
Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers. s. 146-150. ISBN 978-80-214-6230-4
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií