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 language | English (US) |
|---|---|
| Pages (from-to) | EL209-EL215 |
| Journal | Journal of the Acoustical Society of America |
| Volume | 139 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 1 2016 |
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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 journal › Article
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TY - JOUR
T1 - Modeling listener perception of speaker similarity in dysarthria
AU - Lansford, Kaitlin L.
AU - Berisha, Visar
AU - Utianski, Rene L.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84976351280&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976351280&partnerID=8YFLogxK
U2 - 10.1121/1.4954384
DO - 10.1121/1.4954384
M3 - Article
C2 - 27369174
AN - SCOPUS:84976351280
VL - 139
SP - EL209-EL215
JO - Journal of the Acoustical Society of America
JF - Journal of the Acoustical Society of America
SN - 0001-4966
IS - 6
ER -