title: Modeling listener perception of speaker similarity in dysarthria.
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.
authors.affiliation: School of Communication Sciences and Disorders, Florida State University, 201 West Bloxham Street, Tallahassee, Florida 32301, USA klansford@fsu.edu.
authors.forename: Kaitlin L
authors.initials: KL
authors.lastname: Lansford
authors.affiliation: Department of Speech and Hearing Science, School of Electrical Computer and Energy Engineering, Arizona State University, COOR 3472, 975 South Myrtle Avenue, Tempe, Arizona 85287, USA visar@asu.edu.
authors.forename: Visar
authors.initials: V
authors.lastname: Berisha
authors.affiliation: Department of Neurology, Mayo Clinic, 200 1st Avenue SW, Rochester, Minnesota 55905, USA utianski.rene@mayo.edu.
authors.forename: Rene L
authors.initials: RL
authors.lastname: Utianski
mesh_terms: D000162:Acoustics; D002983:Clinical Competence; D003463:Cues; D004401:Dysarthria / Q000175:diagnosis* / Q000503:physiopathology / Q000523:psychology; D006801:Humans; D007600:Judgment; D016015:Logistic Models; D015999:Multivariate Analysis; D010363:Pattern Recognition, Automated; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D012815:Signal Processing, Computer-Assisted; D013061:Speech Acoustics; D013067:Speech Perception; D013068:Speech Production Measurement / Q000379:methods*; D013066:Speech-Language Pathology / Q000379:methods*; D014833:Voice Quality