15th Annual Conference of the International Speech Communication Association

September 14-18, 2014

Automatic Detection of Parkinson's Disease from Words Uttered in Three Different Languages

J. R. Orozco-Arroyave (1), Florian Hönig (2), J. D. Arias-Londoño (1), J. F. Vargas-Bonilla (1), S. Skodda (3), J. Rusz (4), Elmar Nöth (2)

(1) Universidad de Antioquia, Colombia
(2) FAU Erlangen-Nürnberg, Germany
(3) Ruhr-Universität Bochum, Germany
(4) Czech Technical University in Prague, Czech Republic

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.

Full Paper

Bibliographic reference.  Orozco-Arroyave, J. R. / Hönig, Florian / Arias-Londoño, J. D. / Vargas-Bonilla, J. F. / Skodda, S. / Rusz, J. / Nöth, Elmar (2014): "Automatic detection of parkinson's disease from words uttered in three different languages", In INTERSPEECH-2014, 1573-1577.