Identification of cerebellar dysarthria with SISO characterisation

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

doi:10.1109/BIBE.2017.000-8

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 proceeding › Conference Paper › Research

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	479-485
Number of pages	7
ISBN (Electronic)	9781538613245
ISBN (Print)	9781538613252
DOIs	https://doi.org/10.1109/BIBE.2017.000-8
Publication status	Published - 1 Jul 2017
Externally published	Yes
Event	IEEE Bioinformatics and Bioengineering 2017 - Washington, United States of America Duration: 23 Oct 2017 → 25 Oct 2017 Conference number: 17th https://ieeexplore.ieee.org/xpl/conhome/8215806/proceeding (Proceedings)

Conference

Conference	IEEE Bioinformatics and Bioengineering 2017
Abbreviated title	BIBE 2017
Country/Territory	United States of America
City	Washington
Period	23/10/17 → 25/10/17
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8215806/proceeding (Proceedings)

Keywords

damping
decayrate
dysarthria
resonantfrequency
secondordermodel
speechdisorder
vocaltract

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10.1109/BIBE.2017.000-8

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title = "Identification of cerebellar dysarthria with SISO characterisation",

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.",

keywords = "damping, decayrate, dysarthria, resonantfrequency, secondordermodel, speechdisorder, vocaltract",

author = "Bipasha Kashyap and David Szmulewicz and Pathirana, \{Pubudu N.\} and Malcolm Horne and Laura Power",

year = "2017",

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doi = "10.1109/BIBE.2017.000-8",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE Bioinformatics and Bioengineering 2017, BIBE 2017 ; Conference date: 23-10-2017 Through 25-10-2017",

url = "https://ieeexplore.ieee.org/xpl/conhome/8215806/proceeding",

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Kashyap, B, Szmulewicz, D, Pathirana, PN, Horne, M & Power, L 2017, Identification of cerebellar dysarthria with SISO characterisation. in Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ , pp. 479-485, IEEE Bioinformatics and Bioengineering 2017, Washington, District of Columbia, United States of America, 23/10/17. https://doi.org/10.1109/BIBE.2017.000-8

Identification of cerebellar dysarthria with SISO characterisation. / Kashyap, Bipasha; Szmulewicz, David; Pathirana, Pubudu N. et al.
Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 479-485.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

TY - GEN

T1 - Identification of cerebellar dysarthria with SISO characterisation

AU - Kashyap, Bipasha

AU - Szmulewicz, David

AU - Pathirana, Pubudu N.

AU - Horne, Malcolm

AU - Power, Laura

N1 - Conference code: 17th

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N2 - 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.

AB - 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.

KW - damping

KW - decayrate

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KW - resonantfrequency

KW - secondordermodel

KW - speechdisorder

KW - vocaltract

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BT - Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017

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T2 - IEEE Bioinformatics and Bioengineering 2017

Y2 - 23 October 2017 through 25 October 2017

ER -

Identification of cerebellar dysarthria with SISO characterisation

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Keywords

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