Automatic detection of Parkinson's disease in running speech spoken in three different languages

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00237049" target="_blank" >RIV/68407700:21230/16:00237049 - isvavai.cz</a>

Result on the web

<a href="http://scitation.aip.org/content/asa/journal/jasa/139/1/10.1121/1.4939739" target="_blank" >http://scitation.aip.org/content/asa/journal/jasa/139/1/10.1121/1.4939739</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1121/1.4939739" target="_blank" >10.1121/1.4939739</a>

Result language

angličtina

Original language name

Automatic detection of Parkinson's disease in running speech spoken in three different languages

Original language description

The aim of this study is the analysis of continuous speech signals of people with Parkinson's disease (PD) considering recordings in different languages (Spanish, German, and Czech). A method for the characterization of the speech signals, based on the automatic segmentation of utterances into voiced and unvoiced frames, is addressed here. The energy content of the unvoiced sounds is modeled using 12 mel-frequency cepstral coefficients (MFCC) and 25 bands scaled according to the Bark scale. Four speech tasks comprising isolated words, rapid repetition of the syllables /pa/-/ta/-/ka/, sentences, and read texts are evaluated. The method proves to be more accurate than classical approaches in the automatic classification of speech of people with PD and healthy controls (HC). The accuracies range from 85% to 99% depending on the language and the speech task. Cross-language experiments are also performed confirming the robustness and generalization capability of the method, with accuracies ranging from 60% to 99%. This work comprises a step forward for the development of computer aided tools for the automatic assessment of dysarthric speech signals in multiple languages.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Name of the periodical

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

ISSN

0001-4966

e-ISSN

—

Volume of the periodical

139

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

20

Pages from-to

481-500

UT code for WoS article

000379568000044

EID of the result in the Scopus database

2-s2.0-84956810479