Automatic detection of Parkinson's disease fromwords uttered in three different languages

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221984" target="_blank" >RIV/68407700:21230/14:00221984 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.interspeech2014.org/public.php?page=home.html" target="_blank" >http://www.interspeech2014.org/public.php?page=home.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automatic detection of Parkinson's disease fromwords uttered in three different languages

Popis výsledku v původním jazyce

About 90% of the people with Parkinson's disease (PD) develop speech impairments such as monopitch, monoloudness, imprecise articulation, and other symptoms. There are several studies addressing the problem of the automatic detection of PD from speech signals in order to develop computer aided tools for the assessment and monitoring of the patients. Recent works have shown that it is possible to detect PD from speech with accuracies above 90%; however, it is still unclear whether it is possible to makethe detection independent of the spoken language. This paper addresses the automatic detection of PD considering speech recordings of three languages: German, Spanish and Czech. According to the results it is possible to classify between speech of peoplewith PD and healthy controls (HC) with accuracies ranging from 84% to 99%, depending on the utterance.

Název v anglickém jazyce

Automatic detection of Parkinson's disease fromwords uttered in three different languages

Popis výsledku anglicky

About 90% of the people with Parkinson's disease (PD) develop speech impairments such as monopitch, monoloudness, imprecise articulation, and other symptoms. There are several studies addressing the problem of the automatic detection of PD from speech signals in order to develop computer aided tools for the assessment and monitoring of the patients. Recent works have shown that it is possible to detect PD from speech with accuracies above 90%; however, it is still unclear whether it is possible to makethe detection independent of the spoken language. This paper addresses the automatic detection of PD considering speech recordings of three languages: German, Spanish and Czech. According to the results it is possible to classify between speech of peoplewith PD and healthy controls (HC) with accuracies ranging from 84% to 99%, depending on the utterance.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP102%2F12%2F2230" target="_blank" >GAP102/12/2230: Analýza hlasu a řeči pacientů s onemocněními centrální nervové soustavy</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2014

ISBN

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ISSN

2308-457X

e-ISSN

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Počet stran výsledku

5

Strana od-do

1573-1577

Název nakladatele

International Speech and Communication Association

Místo vydání

F-66390 BAIXAS

Místo konání akce

Singapore

Datum konání akce

14. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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