Přístupnostní navigace
E-application
Search Search Close
Publication detail
KOVÁČ, D.
Original Title
Quantitative Analysis of Vocal Tract Resonances in Patients with Parkinson’s Disease
Type
conference paper
Language
English
Original 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.
Keywords
Resonance Frequency Attenuation, Articulatory Decay, Parkinson’s Disease, Hypokinetic Dysarthria
Authors
Released
23. 4. 2024
Publisher
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Location
Brno
ISBN
978-80-214-6230-4
Book
Proceedings II of the 30th Conference STUDENT EEICT 2024
2788-1334
Periodical
Proceedings II of the Conference STUDENT EEICT
State
Czech Republic
Pages from
146
Pages to
150
Pages count
5
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf
BibTex
@inproceedings{BUT188989, author="Daniel {Kováč}", title="Quantitative Analysis of Vocal Tract Resonances in Patients with Parkinson’s Disease", booktitle="Proceedings II of the 30th Conference STUDENT EEICT 2024", year="2024", journal="Proceedings II of the Conference STUDENT EEICT", pages="146--150", publisher="Brno University of Technology, Faculty of Elektronic Engineering and Communication", address="Brno", doi="10.13164/eeict.2024.146", isbn="978-80-214-6230-4", issn="2788-1334", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf" }