Acoustic analysis of poem recitation for identification of hypokinetic dysarthria in Parkinson’s disease patients

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123585" target="_blank" >RIV/00216305:26220/17:PU123585 - 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

Acoustic analysis of poem recitation for identification of hypokinetic dysarthria in Parkinson’s disease patients

Popis výsledku v původním jazyce

Parkinson's disease (PD) is the second most frequent neurodegenerative disorder. Up to 90 % of PD patients suffer from speech disorder called hypokinetic dysarthria (HD). The goal of this work was to perform quantitative acoustic analysis of poem recitation in order to identify presence of HD. We employed conventional acoustic features to quantify specific HD disorders such as articulation, prosody, speech fluency and quality. It was observed that there is only mildly strong correlation between these speech features and diagnosis of the speakers. Next, we performed an univariate classification with these results of sensitivity in specific HD domains: imprecise articulation (62.63 %), dysprosody (61.62 %), speech dysfluency (71.72 %), and speech quality deterioration (59.60 %). The classification performance was improved by a multivariate classification, where we achieved sensitivity of 83.42 % using only two features describing imprecise articulation and speech quality deterioration in HD. Promising p

Název v anglickém jazyce

Acoustic analysis of poem recitation for identification of hypokinetic dysarthria in Parkinson’s disease patients

Popis výsledku anglicky

Parkinson's disease (PD) is the second most frequent neurodegenerative disorder. Up to 90 % of PD patients suffer from speech disorder called hypokinetic dysarthria (HD). The goal of this work was to perform quantitative acoustic analysis of poem recitation in order to identify presence of HD. We employed conventional acoustic features to quantify specific HD disorders such as articulation, prosody, speech fluency and quality. It was observed that there is only mildly strong correlation between these speech features and diagnosis of the speakers. Next, we performed an univariate classification with these results of sensitivity in specific HD domains: imprecise articulation (62.63 %), dysprosody (61.62 %), speech dysfluency (71.72 %), and speech quality deterioration (59.60 %). The classification performance was improved by a multivariate classification, where we achieved sensitivity of 83.42 % using only two features describing imprecise articulation and speech quality deterioration in HD. Promising p

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

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