Conference contribution
(Conference Contribution)


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


Publication Details
Author(s): Orozco-Arroyave J, Hönig F, Arias-Londoño J, Vargas-Bonilla J, Skodda S, Rusz J, Nöth E
Publisher: International Speech and Communication Association
Publication year: 2014
Pages range: 1573-1577
Event: 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014

Abstract

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 make the 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 people with PD and healthy controls (HC) with accuracies ranging from 84% to 99%, depending on the utterance.



How to cite
APA: Orozco-Arroyave, J., Hönig, F., Arias-Londoño, J., Vargas-Bonilla, J., Skodda, S., Rusz, J., & Nöth, E. (2014). Automatic detection of Parkinson's disease fromwords uttered in three different languages. (pp. 1573-1577). International Speech and Communication Association.

MLA: Orozco-Arroyave, J. R., et al. "Automatic detection of Parkinson's disease fromwords uttered in three different languages." Proceedings of the 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014 International Speech and Communication Association, 2014. 1573-1577.

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