Towards an automatic monitoring of the neurological state of Parkinson's patients from speech
Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Elmar Nöth
Abstract
The suitability of articulation measures and speech intelligibility is evaluated to estimate the neurological state of patients with Parkinson's disease (PD). A set of measures recently introduced to model the articulatory capability of PD patients is considered. Additionally, the speech intelligibility in terms of the word accuracy obtained from the Google® speech recognizer is included. Recordings of patients in three different languages are considered: Spanish, German, and Czech. Additionally, the proposed approach is tested on data recently used in the INTERSPEECH 2015 Computational Paralinguistics Challenge. According to the results, it is possible to estimate the neurological state of PD patients from speech with a Spearman's correlation of up to 0.72 with respect to the evaluations performed by neurologist experts.
BibTeX
@inproceedings{icassp2016_towardsanautomat,
title = {Towards an automatic monitoring of the neurological state of Parkinson's patients from speech},
author = {Juan Rafael Orozco-Arroyave and Juan Camilo Vásquez-Correa and Florian Hönig and Julián D. Arias-Londoño and Jesús Francisco Vargas-Bonilla and Sabine Skodda and Jan Rusz and Elmar Nöth},
booktitle = {ICASSP 2016},
year = {2016}
}