2023
DOI: 10.3389/fpsyg.2023.1105346
|View full text |Cite
|
Sign up to set email alerts
|

Speech comprehension in noisy environments: Evidence from the predictability effects on the N400 and LPC

Abstract: IntroductionSpeech comprehension involves context-based lexical predictions for efficient semantic integration. This study investigated how noise affects the predictability effect on event-related potentials (ERPs) such as the N400 and late positive component (LPC) in speech comprehension.MethodsTwenty-seven listeners were asked to comprehend sentences in clear and noisy conditions (hereinafter referred to as “clear speech” and “noisy speech,” respectively) that ended with a high-or low-predictability word dur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 70 publications
(122 reference statements)
0
1
0
Order By: Relevance
“…There is relatively little empirical evidence demonstrating how background noise affects listeners’ ability to generate predictions based on linguistic context. Evidence from electroencephalography (EEG) suggests that background noise disrupts listeners’ ability to generate predictions: brain wave responses to unexpected semantic input (i.e., N400 effects) tend to be delayed when speech is presented in background noise ( Connolly et al, 1992 ; Silcox and Payne, 2021 ; Hsin et al, 2023 ). On this account, listeners may be less efficient when facing greater perceptual complexity (i.e., acoustic-phonetic similarity) associated with informational masking (e.g., babble noise) as compared to energetic masking (e.g., SSN).…”
Section: Introductionmentioning
confidence: 99%
“…There is relatively little empirical evidence demonstrating how background noise affects listeners’ ability to generate predictions based on linguistic context. Evidence from electroencephalography (EEG) suggests that background noise disrupts listeners’ ability to generate predictions: brain wave responses to unexpected semantic input (i.e., N400 effects) tend to be delayed when speech is presented in background noise ( Connolly et al, 1992 ; Silcox and Payne, 2021 ; Hsin et al, 2023 ). On this account, listeners may be less efficient when facing greater perceptual complexity (i.e., acoustic-phonetic similarity) associated with informational masking (e.g., babble noise) as compared to energetic masking (e.g., SSN).…”
Section: Introductionmentioning
confidence: 99%