Data, Output, and Code: A Clinical Advantage: Experience informs recognition and adaptation to a novel talker with dysarthria
Description
Perceptual training paradigms, which leverage the mechanism of perceptual learning, show that naïve listeners, those with no prior experience with dysarthria, benefit from explicit familiarization with a talker with dysarthria. The assumption, that familiarization affords listeners an opportunity to acquire distributional knowledge of the degraded speech signal. Here, we extend investigations to clinically experienced listeners, Speech-Language Pathologists (SLPs), and advance models of listener recognition and adaptation to dysarthric speech.
OCLC
1255179556
Document Type
Dataset
DCMI Type
Dataset
File Format
HTML, .rmd, .xlxs
Publication Date
12-21-2020
Funder
NIH
Publisher
OSF
Award Number
NIH 1R1DC018867-01
Award Title
Perceptual training for improved intelligibility of dysarthric speech
Methodology
Forty-seven SLPs completed a standard three-phase perceptual training protocol (pretest, familiarization, posttest) with a novel talker with dysarthria. Intelligibility scores were compared with a historical data set from naïve listeners. Further, potential relationships between intelligibility scores and characteristics of clinical experience were examined.
Language
eng
Disciplines
Communication Sciences and Disorders | Medicine and Health Sciences | Speech and Hearing Science | Speech Pathology and Audiology
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Identifier
http://osf.io/prf95
Recommended Citation
Borrie, S. A., Lansford, K., & Barrett, T. S. (2020). Data, Output, and Code: A Clinical Advantage: Experience informs recognition and adaptation to a novel talker with dysarthria. OSF. https://osf.io/prf95
Comments
The contained .rmd code can be used to replicate the results found in the referencing article.