Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
|
| Series: | Languages |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-471X/7/3/239 |
| _version_ | 1797485740623396864 |
|---|---|
| author | Melinda Fricke Megan Zirnstein |
| author_facet | Melinda Fricke Megan Zirnstein |
| author_sort | Melinda Fricke |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:24:15Z |
| format | Article |
| id | doaj.art-390d2c623d59499bbed1b159ff7ace28 |
| institution | Directory Open Access Journal |
| issn | 2226-471X |
| language | English |
| last_indexed | 2024-03-09T23:24:15Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Languages |
| spelling | doaj.art-390d2c623d59499bbed1b159ff7ace282023-11-23T17:21:31ZengMDPI AGLanguages2226-471X2022-09-017323910.3390/languages7030239Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in NoiseMelinda Fricke0Megan Zirnstein1Department of Linguistics, University of Pittsburgh, Pittsburgh, PA 15260, USADepartment of Linguistics and Cognitive Science, Pomona College, Claremont, CA 91711, USAAuditory 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.https://www.mdpi.com/2226-471X/7/3/239bilingualismspeech perceptionspeech-in-noise perceptionsemantic constraintpredictive processinginhibitory control |
| spellingShingle | Melinda Fricke Megan Zirnstein Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise Languages bilingualism speech perception speech-in-noise perception semantic constraint predictive processing inhibitory control |
| title | Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise |
| title_full | Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise |
| title_fullStr | Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise |
| title_full_unstemmed | Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise |
| title_short | Predictive Processing and Inhibitory Control Drive Semantic Enhancements for Non-Dominant Language Word Recognition in Noise |
| title_sort | predictive processing and inhibitory control drive semantic enhancements for non dominant language word recognition in noise |
| topic | bilingualism speech perception speech-in-noise perception semantic constraint predictive processing inhibitory control |
| url | https://www.mdpi.com/2226-471X/7/3/239 |
| work_keys_str_mv | AT melindafricke predictiveprocessingandinhibitorycontroldrivesemanticenhancementsfornondominantlanguagewordrecognitioninnoise AT meganzirnstein predictiveprocessingandinhibitorycontroldrivesemanticenhancementsfornondominantlanguagewordrecognitioninnoise |