Assessing dysarthria using variability measures from audio recordings

Frits Van Brenk, Anja Lowit

Research output: Contribution to conferencePoster

Abstract

Classification and characterization of motor speech disorders (MSDs) is important from the viewpoint of diagnosis and treatment. Clinical diagnosis is primarily based on auditoryperceptual characteristics of perceived speech abnormalities, but is subject to unreliable clinical judgement and quantifi cation, and diffi cult to relate to the underlying pathophysiology. In this study we investigate whether it is possible to diagnose dysarthria based on measures of speech variability by using Functional Data Analysis (FDA) (Ramsay et al.,1996). A reliable quantifi cation of variability in speech can potentially reveal underlying motor control problems, enable early detection of sub-clinical speech abnormalities, and provide sensitive and quantifi able outcome measures that aid treatment strategies. FDA has
been shown to be successful in investigating variability of kinematic movements obtained by lip displacement tracking, but may also be applied to other dimensions of speech, including amplitude envelopes and pitch and formant tracks. Anderson et al. (2008) used FDA to calculate spatial and temporal variability of amplitude envelopes of sentence repetitions produced by patients with hypokinetic and ataxic dysarthria and demonstrated that variability
characteristics were infl uenced by dysarthria type.

Conference

Conference6th International Conference on Speech Motor Control
CountryNetherlands
CityGroningen
Period8/06/1111/06/11

Fingerprint

Dysarthria
Cations
Speech Disorders
Lip
Biomechanical Phenomena
Outcome Assessment (Health Care)
Therapeutics

Keywords

  • dysarthria
  • motor speech disorders
  • speech disorder
  • langauge therapy

Cite this

Van Brenk, F., & Lowit, A. (2011). Assessing dysarthria using variability measures from audio recordings. Poster session presented at 6th International Conference on Speech Motor Control, Groningen, Netherlands.
Van Brenk, Frits ; Lowit, Anja. / Assessing dysarthria using variability measures from audio recordings. Poster session presented at 6th International Conference on Speech Motor Control, Groningen, Netherlands.
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title = "Assessing dysarthria using variability measures from audio recordings",
abstract = "Classification and characterization of motor speech disorders (MSDs) is important from the viewpoint of diagnosis and treatment. Clinical diagnosis is primarily based on auditoryperceptual characteristics of perceived speech abnormalities, but is subject to unreliable clinical judgement and quantifi cation, and diffi cult to relate to the underlying pathophysiology. In this study we investigate whether it is possible to diagnose dysarthria based on measures of speech variability by using Functional Data Analysis (FDA) (Ramsay et al.,1996). A reliable quantifi cation of variability in speech can potentially reveal underlying motor control problems, enable early detection of sub-clinical speech abnormalities, and provide sensitive and quantifi able outcome measures that aid treatment strategies. FDA hasbeen shown to be successful in investigating variability of kinematic movements obtained by lip displacement tracking, but may also be applied to other dimensions of speech, including amplitude envelopes and pitch and formant tracks. Anderson et al. (2008) used FDA to calculate spatial and temporal variability of amplitude envelopes of sentence repetitions produced by patients with hypokinetic and ataxic dysarthria and demonstrated that variabilitycharacteristics were infl uenced by dysarthria type.",
keywords = "dysarthria , motor speech disorders , speech disorder, langauge therapy",
author = "{Van Brenk}, Frits and Anja Lowit",
year = "2011",
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note = "6th International Conference on Speech Motor Control ; Conference date: 08-06-2011 Through 11-06-2011",

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Van Brenk, F & Lowit, A 2011, 'Assessing dysarthria using variability measures from audio recordings' 6th International Conference on Speech Motor Control, Groningen, Netherlands, 8/06/11 - 11/06/11, .

Assessing dysarthria using variability measures from audio recordings. / Van Brenk, Frits; Lowit, Anja.

2011. Poster session presented at 6th International Conference on Speech Motor Control, Groningen, Netherlands.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Assessing dysarthria using variability measures from audio recordings

AU - Van Brenk, Frits

AU - Lowit, Anja

PY - 2011

Y1 - 2011

N2 - Classification and characterization of motor speech disorders (MSDs) is important from the viewpoint of diagnosis and treatment. Clinical diagnosis is primarily based on auditoryperceptual characteristics of perceived speech abnormalities, but is subject to unreliable clinical judgement and quantifi cation, and diffi cult to relate to the underlying pathophysiology. In this study we investigate whether it is possible to diagnose dysarthria based on measures of speech variability by using Functional Data Analysis (FDA) (Ramsay et al.,1996). A reliable quantifi cation of variability in speech can potentially reveal underlying motor control problems, enable early detection of sub-clinical speech abnormalities, and provide sensitive and quantifi able outcome measures that aid treatment strategies. FDA hasbeen shown to be successful in investigating variability of kinematic movements obtained by lip displacement tracking, but may also be applied to other dimensions of speech, including amplitude envelopes and pitch and formant tracks. Anderson et al. (2008) used FDA to calculate spatial and temporal variability of amplitude envelopes of sentence repetitions produced by patients with hypokinetic and ataxic dysarthria and demonstrated that variabilitycharacteristics were infl uenced by dysarthria type.

AB - Classification and characterization of motor speech disorders (MSDs) is important from the viewpoint of diagnosis and treatment. Clinical diagnosis is primarily based on auditoryperceptual characteristics of perceived speech abnormalities, but is subject to unreliable clinical judgement and quantifi cation, and diffi cult to relate to the underlying pathophysiology. In this study we investigate whether it is possible to diagnose dysarthria based on measures of speech variability by using Functional Data Analysis (FDA) (Ramsay et al.,1996). A reliable quantifi cation of variability in speech can potentially reveal underlying motor control problems, enable early detection of sub-clinical speech abnormalities, and provide sensitive and quantifi able outcome measures that aid treatment strategies. FDA hasbeen shown to be successful in investigating variability of kinematic movements obtained by lip displacement tracking, but may also be applied to other dimensions of speech, including amplitude envelopes and pitch and formant tracks. Anderson et al. (2008) used FDA to calculate spatial and temporal variability of amplitude envelopes of sentence repetitions produced by patients with hypokinetic and ataxic dysarthria and demonstrated that variabilitycharacteristics were infl uenced by dysarthria type.

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KW - motor speech disorders

KW - speech disorder

KW - langauge therapy

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M3 - Poster

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Van Brenk F, Lowit A. Assessing dysarthria using variability measures from audio recordings. 2011. Poster session presented at 6th International Conference on Speech Motor Control, Groningen, Netherlands.