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2017 | OriginalPaper | Buchkapitel

Parkinson’s Disease Progression Assessment from Speech Using a Mobile Device-Based Application

verfasst von : T. Arias-Vergara, P. Klumpp, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, E. Nöth

Erschienen in: Text, Speech, and Dialogue

Verlag: Springer International Publishing

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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 Diseae 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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Vorheriges Kapitel Temporal Feature Space for Text Classification

Nächstes Kapitel A New Corpus of Collaborative Dialogue Produced Under Cognitive Load Using a Driving Simulator

https://www.clsp.jhu.edu/workshops/16-workshop/remote-monitoring-of-neurode generation-through-speech/.

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Titel: Parkinson’s Disease Progression Assessment from Speech Using a Mobile Device-Based Application
verfasst von: T. Arias-Vergara
P. Klumpp
J. C. Vásquez-Correa
J. R. Orozco-Arroyave
E. Nöth
Verlag: Springer International Publishing
Buch: Text, Speech, and Dialogue
Print ISBN: 978-3-319-64205-5

Electronic ISBN: 978-3-319-64206-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-64206-2_42

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