3 Citations (Scopus)

Abstract

The current investigation contributes to a perceptual similarity-based approach to dysarthria characterization by utilizing an innovative statistical approach, multinomial logistic regression with sparsity constraints, to identify acoustic features underlying each listener's impressions of speaker similarity. The data-driven approach also permitted an examination of the effect of clinical experience on listeners' impressions of similarity. Listeners, irrespective of level of clinical experience, were found to rely on similar acoustic features during the perceptual sorting task, known as free classification. Overall, the results support the continued advancement of a similarity-based approach to characterizing the communication disorders associated with dysarthria.

Original languageEnglish (US)
Pages (from-to)EL209-EL215
JournalJournal of the Acoustical Society of America
Volume139
Issue number6
DOIs
StatePublished - Jun 1 2016

Fingerprint

acoustics
logistics
classifying
regression analysis
examination
communication
disorders
Listener Perception
Dysarthria
Modeling
Listeners
Acoustics
Clinical Experience
Data-driven
Logistic Regression
Communication Disorders

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Arts and Humanities (miscellaneous)

Cite this

Modeling listener perception of speaker similarity in dysarthria. / Lansford, Kaitlin L.; Berisha, Visar; Utianski, Rene L.

In: Journal of the Acoustical Society of America, Vol. 139, No. 6, 01.06.2016, p. EL209-EL215.

Research output: Contribution to journalArticle

Lansford, Kaitlin L. ; Berisha, Visar ; Utianski, Rene L. / Modeling listener perception of speaker similarity in dysarthria. In: Journal of the Acoustical Society of America. 2016 ; Vol. 139, No. 6. pp. EL209-EL215.
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