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Identification of cerebellar dysarthria with SISO characterisation

conference contribution
posted on 2017-01-01, 00:00 authored by Bipasha KashyapBipasha Kashyap, D Szmulewicz, Pubudu PathiranaPubudu Pathirana, M Horne, L Power
Quantitative identification of dysarthria plays a major role in the classification of its severity. This paper quantitatively analyses several components of cerebellar dysarthria. The methodology described in this study will be extended to other types of dysarthria via systematic analysis. The speech production model is characterized as a second-order single-input and single-output (SISO), linear, time-invariant (LTI) system in our study. A comparative study on the behavior of the damping ratio and resonant frequency for dysarthric and non-dysarthric subjects is presented. The results are further analyzed using the Principal component analysis (PCA) technique to emphasize the variation and uncover strong patterns in the selected features. The effects of some other related factors like decay time and Q-factor are also highlighted.

History

Event

IEEE Computer Society. Conference (17th : 2017 : Herndon, Va.)

Series

IEEE Computer Society Conference

Pagination

479 - 485

Publisher

Institute of Electrical and Electronics Engineers

Location

Herndon, Va.

Place of publication

Piscataway, N.J.

Start date

2017-10-23

End date

2017-10-25

ISSN

2471-7819

ISBN-13

978-1-5386-1324-5

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2017, IEEE

Editor/Contributor(s)

L O'Conner

Title of proceedings

BIBE 2017 : Proceedings of the 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering