Data, Output, and Code: A Clinical Advantage: Experience informs recognition and adaptation to a novel talker with dysarthria

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.

Authors

Publication Details

Journal
Digital Commons - USU (Utah State University)
Published
2025-10-15
DOI
https://doi.org/10.26078/bfb0-e16d
Primary Topic
Voice and Speech Disorders
Type
article
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article

Data, Output, and Code: A Clinical Advantage: Experience informs recognition and adaptation to a novel talker with dysarthria

Tyson S. Barrett, Stephanie A. Borrie, Kaitlin L. Lansford
Digital Commons - USU (Utah State University)
Voice and Speech Disorders
article

Data, Output, and Code: A Clinical Advantage: Experience informs recognition and adaptation to a novel talker with dysarthria

Tyson S. Barrett, Stephanie A. Borrie, Kaitlin L. Lansford
article en

Abstract

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.

Digital Commons - USU (Utah State University)
Voice and Speech Disorders
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