Dysarthria and hearing loss are communication disorders that can substantially reduce intelligibility of speech and the addition of background noise adds a further challenge. This proposal utilizes an established signal processing technique, currently exploited for improved understanding of speech in noise for listeners with hearing loss, to investigate its potential application to overcome speech-in-noise difficulties for listeners understanding dysarthric speech. Successful completion of this project will demonstrate proof-of-concept for the application of this signal processing technique to dysarthric speech in noise, and inform the development of an R01 proposal to perform a large-scale evaluation of the technology, and clinically meaningful implications, in a broad range of disordered speech types and severities.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
435
Speech in noise processed by ideal binary mask to reduce background noise
Utah State University
Logan, Utah, United States
Percent Correct Speech Intelligibility
Percent of keywords correctly identified by the participant for the processed speech stimuli, listeners were presented with phrases containing several words and they reported back what they heard. The number of words corrected reported by each listener was counted and converted to a 'percent correct' score.
Time frame: One hour
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