Detail publikace

Quantitative Analysis of Vocal Tract Resonances in Patients with Parkinson’s Disease

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

KOVÁČ, D.

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"
}