Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception

Sahil Luthra; Anne Marie Crinnion; David Saltzman; James S. Magnuson

doi:10.1111/cogs.13449

Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception

Sahil Luthra
, Anne Marie Crinnion
, David Saltzman
, James S. Magnuson

Psychology

University of Connecticut
BCBL – Basque Center on Cognition, Brain and Language
Ikerbasque Basque Foundation for Science

Research output: Contribution to journal › Letter › peer-review

3 Scopus citations

Abstract

We recently reported strong, replicable (i.e., replicated) evidence for lexically mediated compensation for coarticulation (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for interactive models of cognition that include top-down feedback and is inconsistent with autonomous models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.

Original language	English
Article number	e13449
Journal	Cognitive Science
Volume	48
Issue number	5
DOIs	https://doi.org/10.1111/cogs.13449
State	Published - May 2024

Keywords

Computational model
Feedback
Language
Speech perception
Top-down effects

Access to Document

10.1111/cogs.13449

Cite this

@article{07eb8266fe6b4f34b0f15063478a32d5,

title = "Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception",

abstract = "We recently reported strong, replicable (i.e., replicated) evidence for lexically mediated compensation for coarticulation (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for interactive models of cognition that include top-down feedback and is inconsistent with autonomous models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.",

keywords = "Computational model, Feedback, Language, Speech perception, Top-down effects",

author = "Sahil Luthra and Crinnion, \{Anne Marie\} and David Saltzman and Magnuson, \{James S.\}",

note = "Publisher Copyright: {\textcopyright} 2024 Cognitive Science Society LLC.",

year = "2024",

month = may,

doi = "10.1111/cogs.13449",

language = "English",

volume = "48",

journal = "Cognitive Science",

issn = "0364-0213",

number = "5",

}

TY - JOUR

T1 - Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception

AU - Luthra, Sahil

AU - Crinnion, Anne Marie

AU - Saltzman, David

AU - Magnuson, James S.

PY - 2024/5

Y1 - 2024/5

N2 - We recently reported strong, replicable (i.e., replicated) evidence for lexically mediated compensation for coarticulation (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for interactive models of cognition that include top-down feedback and is inconsistent with autonomous models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.

AB - We recently reported strong, replicable (i.e., replicated) evidence for lexically mediated compensation for coarticulation (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for interactive models of cognition that include top-down feedback and is inconsistent with autonomous models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.

KW - Computational model

KW - Feedback

KW - Language

KW - Speech perception

KW - Top-down effects

UR - https://www.scopus.com/pages/publications/85193759997

U2 - 10.1111/cogs.13449

DO - 10.1111/cogs.13449

M3 - Letter

AN - SCOPUS:85193759997

SN - 0364-0213

VL - 48

JO - Cognitive Science

JF - Cognitive Science

IS - 5

M1 - e13449

ER -

Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this