Identification of cerebellar dysarthria with SISO characterisation

Bipasha Kashyap, David Szmulewicz, Pubudu N. Pathirana, Malcolm Horne, Laura Power

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Place of PublicationPiscataway, NJ
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages7
ISBN (Electronic)9781538613245
ISBN (Print)9781538613252
Publication statusPublished - 1 Jul 2017
Externally publishedYes
EventIEEE Bioinformatics and Bioengineering 2017 - Washington, United States of America
Duration: 23 Oct 201725 Oct 2017
Conference number: 17th (Proceedings)


ConferenceIEEE Bioinformatics and Bioengineering 2017
Abbreviated titleBIBE 2017
Country/TerritoryUnited States of America
Internet address


  • damping
  • decayrate
  • dysarthria
  • resonantfrequency
  • secondordermodel
  • speechdisorder
  • vocaltract

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