Parkinson’s disease progression assessment from speech using a mobile device-based application

Arias Vergara T, Klumpp P, Vasquez Correa J, Orozco Arroyave JR, Nöth E (2017)

Publication Status: Published

Publication Type: Conference contribution, Original article

Publication year: 2017

Publisher: Springer Verlag

Pages Range: 371-379

Conference Proceedings Title: TSD 2017: Text, Speech, and Dialogue

ISBN: 9783319642055

DOI: 10.1007/978-3-319-64206-2_42

Abstract

This paper presents preliminary results of individual speaker models for monitoring Parkinson’s disease from speech using a smart-phone. The aim of this study is to evaluate the suitability of mobile devices to perform robust speech analysis. Speech recordings from 68 PD patients were captured from 2012 to 2016 in four recording sessions. The performance of the speaker models is evaluated according to two clinical rating scales: the Unified Parkinson’s Disease Rating Scale (UPDRS) and a modified version of the Frenchay Dysarthria Assessment (m-FDA) scale. According to the results, it is possible to assess the disease progression from speech with Pearson’s correlations of up to   r=0.51 . This study suggests that it is worth to continue working on the development of mobile-based tools for the continuous and unobtrusive monitoring of Parkinson’s patients.

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How to cite

APA:

Arias Vergara, T., Klumpp, P., Vasquez Correa, J., Orozco Arroyave, J.R., & Nöth, E. (2017). Parkinson’s disease progression assessment from speech using a mobile device-based application. In TSD 2017: Text, Speech, and Dialogue (pp. 371-379). Springer Verlag.

MLA:

Arias Vergara, Tomás, et al. "Parkinson’s disease progression assessment from speech using a mobile device-based application." Proceedings of the 20th International Conference on Text, Speech and Dialogue, TSD 2017 Springer Verlag, 2017. 371-379.

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