Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141374" target="_blank" >RIV/00216305:26220/21:PU141374 - isvavai.cz</a>
Alternative codes found
RIV/65269705:_____/21:00074860
Result on the web
<a href="https://ieeexplore.ieee.org/document/9522597" target="_blank" >https://ieeexplore.ieee.org/document/9522597</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP52935.2021.9522597" target="_blank" >10.1109/TSP52935.2021.9522597</a>
Alternative languages
Result language
angličtina
Original language name
Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease
Original language description
Parkinson's disease (PD) is associated with several speech/voice disorders collectively referred to as hypokinetic dysarthria (HD). The main goal of this study is to identify acoustic features that support the diagnosis of PD while being independent of the language of a speaker. We recorded seven speech (e.g. monologue) and voice (e.g. sustained phonation) tasks in a cohort of 59 PD patients and 44 age- and gender-matched healthy controls (HC) speaking Czech or US English. A non-parametric test revealed that the best discrimination power has a measure quantifying the number of interword pauses per minute. In a consequent classification analysis, utilising logistic regression, we observed a drop in the classification accuracy from 72-73% to 67%, when moving from single-language modelling to the multilingual one. The results of this study suggest that especially the prosodic (pause-based) features could play a significant role in the automatic language-independent diagnosis of PD.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NU20-04-00294" target="_blank" >NU20-04-00294: Diagnostics of Lewy body diseases in prodromal stage based on multimodal data analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 44th International Conference on Telecommunications and Signal Processing
ISBN
978-1-6654-2933-7
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
273-277
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Brno
Event date
Jul 26, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000701604600059