Voiced/unvoiced transitions in speech as a potential bio-marker to detect Parkinson's disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F15%3A10322958" target="_blank" >RIV/00216208:11110/15:10322958 - isvavai.cz</a>

Result on the web

<a href="https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Orozco-Arroyave15-VTI.pdf" target="_blank" >https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Orozco-Arroyave15-VTI.pdf</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Voiced/unvoiced transitions in speech as a potential bio-marker to detect Parkinson's disease

Original language description

Several studies have addressed the automatic classification of speakers with Parkinson's disease (PD) and healthy controls (HC). Most of the studies are based on speech recordings of sustained vowels, isolated words, and single sentences. Only few investigations have considered read texts and/or spontaneous speech. This paper addresses two main questions still open regarding the automatic analysis speech in patients with PD, (a) "Is it possible to classify PD patients and HC through running speech signals in multiple languages", and (b) "where is the information to discriminate between speech recordings of PD patients and HC" In this paper speech recordings of read texts and monologues spoken in three different languages are considered. The energy content of the borders between voiced and unvoiced sounds is modeled. According to the results with read texts it is possible to achieve accuracies ranging from 91% to 98% depending on the language. With respect to the results on monologues, the accuracies are above 98% in all of the three languages. The presence of discriminant information in the voiced/unvoiced and unvoiced/voiced transitions is validated here, evidencing the problems of PD patients to stop/start the vocal folds movement during the production of running speech. Copyright (C) 2015 ISCA.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

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

Article name in the collection

INTERSPEECH 2015

ISBN

978-1-5108-1790-6

ISSN

2308-457X

e-ISSN

—

Number of pages

5

Pages from-to

95-99

Publisher name

International Speech and Communication Association

Place of publication

Bochum

Event location

Dresden

Event date

Sep 6, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000380581600020