Evidence map›Paper›PMID 40966097›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2025

Communication in Complex Situations: The Combined Influence of Dysarthria and Sensorineural Hearing Loss on Speech Perception in Everyday Noisy Environments.

Sarah E Yoho, Eric W Healy, Tyson S Barrett, Stephanie A Borrie

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sarah E YohoDepartment of Speech and Hearing Science, The Ohio State University, Columbus.ORCID 0000-0002-3850-8876
Eric W HealyDepartment of Speech and Hearing Science, The Ohio State University, Columbus.
Tyson S BarrettSpeech and Hearing Sciences Department, Utah State University, Logan.ORCID 0000-0002-2137-1391
Stephanie A BorrieSpeech and Hearing Sciences Department, Utah State University, Logan.ORCID 0000-0002-2336-0071

Funding

Improving intelligibility in noise for hearing-impaired listenersR01DC015521 · NIDCD · OHIO STATE UNIVERSITY · PI HEALY, ERIC W · 2016 to 2020
$1.6M
Application of Ideal Binary Masking to disordered speechR21DC018641 · NIDCD · UTAH STATE UNIVERSITY · PI LEOPOLD, SARAH YOHO · 2020 to 2022
$435k
Perceptual training for improved intelligibility of dysarthric speechR21DC018867 · NIDCD · UTAH STATE UNIVERSITY · PI BORRIE, STEPHANIE ANNA, LANSFORD, KAITLIN LORRAINE · 2020 to 2021
$419k
NIDCD NIH HHS R01 DC015521NIDCD NIH HHS R21 DC018641NIDCD NIH HHS R21 DC018867
6 · The paper itself

Abstract

purposeHere, we investigated how intelligibility is impacted in underappreciated, highly complex, but real-world communication scenarios involving two clinical populations-when the speaker has dysarthria and the listener has hearing loss, in noisy everyday environments. As a second aim, we examined the potential for modern noise reduction to mitigate the noise burden when listeners with hearing loss are attempting to understand a speaker with dysarthria.

methodThirteen adults with sensorineural hearing loss (SNHL) listened and transcribed dysarthric speech under three processing conditions: quiet, noise, and noise reduced. The intelligibility scores of listeners with SNHL were compared with previously reported data collected from adults without hearing loss (Borrie et al., 2023).

resultsListeners with SNHL performed significantly poorer than typical-hearing listeners when listening to speech produced by a speaker with dysarthria-an intelligibility disadvantage that was exacerbated when background noise was present. However, it was also found that a time-frequency-based noise reduction technique was able to effectively restore the intelligibility of dysarthric speech in noise to approximate levels in quiet for listeners with hearing loss.

conclusionsThe results highlight the substantial intelligibility burden placed upon a communication dyad consisting of a speaker with dysarthria and a listener with hearing loss, when background noise is present. Given the etiologies of dysarthria and hearing loss, and presence of noise in many everyday communication environments, this scenario is not uncommon. As such, these results are an important first step toward understanding the challenges experienced when communication disorders interact. The finding that noise reduction techniques can mitigate much of the noise burden provides a promising future direction for research that seeks to manage communication with two clinical populations.

Indexed as

CommunicationDysarthriaHearing Loss, SensorineuralNoiseSpeech PerceptionAdultAgedFemaleHumansMaleMiddle AgedSpeech Intelligibility

Identifiers

PMID40966097
PMCPMC12533689

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.