Modeling listener perception of speaker similarity in dysarthria

Kaitlin L. Lansford, Visar Berisha, Rene Utianski

Research output: Contribution to journalArticle

4 Scopus citations

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

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

Cite this