Multilingual Analysis of Hypokinetic Dysarthria in Patients with Parkinson's disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141298" target="_blank" >RIV/00216305:26220/21:PU141298 - isvavai.cz</a>

Result on the web

<a href="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf" target="_blank" >https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Multilingual Analysis of Hypokinetic Dysarthria in Patients with Parkinson's disease

Original language description

This article deals with the multilingual analysis of hypokinetic dysarthria (HD) in patients with Parkinson’s disease (PD). The goal is to identify acoustic features that have high discrimination power and that are independent of the language of a speaker. The speech corpus contains 59 PD patients and 44 healthy controls (HC) speaking in Czech (cs) and American English (en-US). Based on non-parametric statistical tests and logistic regression, we observed the best discrimination power has the speech index of rhythmicity (extracted from a reading text) and harmonic-to-noise ratio (extracted from a sustained vowel). We were able to identify PD with 67% sensitivity and 79% specificity in the Czech corpus and with 78% sensitivity and 67% specificity in the English one. The performance of the model was significantly lower when combining both datasets, thus suggesting language plays a significant role during the automatic assessment of HD.

Czech name

—

Czech description

—

Type

O - Miscellaneous

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů