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KOVÁČ, D.
Originální název
Quantitative Analysis of Vocal Tract Resonances in Patients with Parkinson’s Disease
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Resonance Frequency Attenuation, Articulatory Decay, Parkinson’s Disease, Hypokinetic Dysarthria
Autoři
Vydáno
23. 4. 2024
Nakladatel
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Místo
Brno
ISBN
978-80-214-6230-4
Kniha
Proceedings II of the 30th Conference STUDENT EEICT 2024
ISSN
2788-1334
Periodikum
Proceedings II of the Conference STUDENT EEICT
Stát
Česká republika
Strany od
146
Strany do
150
Strany počet
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" }