Articulation dynamics in Parkinson dysarthria

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU144170" target="_blank" >RIV/00216305:26220/17:PU144170 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Articulation dynamics in Parkinson dysarthria

Popis výsledku v původním jazyce

The Vowel Space Area (VSA) and the Formant Centralization Ratio (FCR) have been proposed to describe dysarthria in Parkinson Disease (PD) as well as in other neuromotor diseases affecting speech. These features are based in global estimations of the positions of the first two formants in the representation of a vowel triangle. The aim of the paper is to give a description of speech articulation dynamics as a probability density function of the kinematic features derived from the evolution of formants in the time domain. The statistical distribution of the dynamic behaviour of articulation features can be used to estimate differences between speech features from subjects with Parkinson dysarthria relative to normative subjects. Utterances of vowels [a:, i:, u:] from a subset of 16 subjects with PD (8 males and 8 females), confronted to a subset of 16 normative subjects (8 males and 8 females) have shown that the statistical distributions of dynamic articulation features can be differentiated using information theory based estimations such as Kullback-Leibler’s Divergence (KLD). These estimations allow establishing relevant statistical differences between PD and normative subjects both for males and females, well over the differentiation capability of VSA and FCR.

Název v anglickém jazyce

Articulation dynamics in Parkinson dysarthria

Popis výsledku anglicky

The Vowel Space Area (VSA) and the Formant Centralization Ratio (FCR) have been proposed to describe dysarthria in Parkinson Disease (PD) as well as in other neuromotor diseases affecting speech. These features are based in global estimations of the positions of the first two formants in the representation of a vowel triangle. The aim of the paper is to give a description of speech articulation dynamics as a probability density function of the kinematic features derived from the evolution of formants in the time domain. The statistical distribution of the dynamic behaviour of articulation features can be used to estimate differences between speech features from subjects with Parkinson dysarthria relative to normative subjects. Utterances of vowels [a:, i:, u:] from a subset of 16 subjects with PD (8 males and 8 females), confronted to a subset of 16 normative subjects (8 males and 8 females) have shown that the statistical distributions of dynamic articulation features can be differentiated using information theory based estimations such as Kullback-Leibler’s Divergence (KLD). These estimations allow establishing relevant statistical differences between PD and normative subjects both for males and females, well over the differentiation capability of VSA and FCR.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/NV16-30805A" target="_blank" >NV16-30805A: Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings and Report - 10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2017

ISBN

9788864536064

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

81-84

Název nakladatele

Firenze University Press

Místo vydání

Firenze, Itálie

Místo konání akce

Firenze

Datum konání akce

13. 12. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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