Towards an automatic monitoring of the neurological state of Parkinson's patients from speech

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 intell...

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Bibliographic Details
Main Authors: Orozco-Arroyave, J. R., Vdsquez-Correa, J. C., Honig, F., Arias-Londono, J. D., Vargas-Bonilla, J. F., Skodda, S., Rusz, J., Noth, E.
Format: Conference Proceeding
Language:English
Subjects:
articulation
Conferences
Correlation
Estimates
Handheld computers
Intelligibility
Monitoring
Optimization
Parkinson's disease
Patients
Recording
Social networks
Speech
Speech recognition
UPDRS
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Summary: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.
ISSN:2379-190X
DOI:10.1109/ICASSP.2016.7472927