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Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise

Bibliographic Data

ID5900973
AuthorsMelinda Fricke (0000-0001-6522-1937, University of Pittsburgh, corresponding author), Megan Zirnstein (Pomona College)
Year2022
Volume7
Issue3
Pages239
Publication date2022-09-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages7030239
OpenAlexW4295780001
LanguageEN
Citations received3
References cited61

Auditory word recognition in the non-dominant language has been suggested to break down under noisy conditions due, in part, to the difficulty of deriving a benefit from contextually constraining information. However, previous studies examining the effects of sentence constraints on word recognition in noise have conflated multiple psycholinguistic processes under the umbrella term of "predictability". The present study improves on these by narrowing its focus specifically on prediction processes, and on whether the possibility of using semantic constraint to predict an upcoming target word improves word recognition in noise for different listener populations and noise conditions. We find that heritage, but not second language, Spanish listeners derive a word recognition-in-noise benefit from predictive processing, and that non-dominant language word recognition benefits more from predictive processing under conditions of energetic, rather than informational, masking. The latter suggests that managing interference from competing speech and generating predictions about an upcoming target word draw on the same cognitive resources. An analysis of individual differences shows that better inhibitory control ability is associated with reduced disruption from competing speech in the more dominant language in particular, revealing a critical role for executive function in simultaneously managing interference and generating expectations for upcoming words

Linguistics · Natural language processing · Noise (video · Predictability · Sentence · Speech recognition · Word (group theory · Word recognition · Computer Science · Hearing Loss and Rehabilitation · Mathematics · Neuroscience and Music Perception · Noise Effects and Management · Artificial Intelligence

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Unique citing works3
Citations per year1,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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