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

Orozco-Arroyave JR, Hönig FT, Arias-Londoño JD, Vargas-Bonilla JF, Skodda S, Rusz J, Nöth E (2014)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: International Speech and Communication Association

Pages Range: 1573-1577

URI: https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84910049334&origin=inward

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.

Authors with CRIS profile

Florian Thomas Hönig Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO) Ruhr-Universität Bochum (RUB) DE Germany (DE) Czech Technical University in Prague / České vysoké učení technické v Praze CZ Czech Republic (CZ)

How to cite

APA:

Orozco-Arroyave, J.R., Hönig, F.T., Arias-Londoño, J.D., Vargas-Bonilla, J.F., Skodda, S., Rusz, J., & Nöth, E. (2014). Automatic detection of Parkinson's disease fromwords uttered in three different languages. In Proceedings of the 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014 (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.

BibTeX: Download