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Identification of Cerebellar Dysarthria with SISO Characterisation
- Source :
- BIBE
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- 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 singleinput 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.
- Subjects :
- Cerebellar dysarthria
Damping ratio
Speech production
business.industry
Computer science
0206 medical engineering
Pattern recognition
02 engineering and technology
020601 biomedical engineering
03 medical and health sciences
Identification (information)
Dysarthria
0302 clinical medicine
Principal component analysis
medicine
Speech disorder
Artificial intelligence
medicine.symptom
business
030217 neurology & neurosurgery
Vocal tract
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE)
- Accession number :
- edsair.doi...........cd7ae70fe445a587282beea1415159e2
- Full Text :
- https://doi.org/10.1109/bibe.2017.000-8