Literature DB >> 24687026

Individual differences in language ability are related to variation in word recognition, not speech perception: evidence from eye movements.

Bob McMurray, Cheyenne Munson, J Bruce Tomblin.   

Abstract

PURPOSE: The authors examined speech perception deficits associated with individual differences in language ability, contrasting auditory, phonological, or lexical accounts by asking whether lexical competition is differentially sensitive to fine-grained acoustic variation.
METHOD: Adolescents with a range of language abilities (N = 74, including 35 impaired) participated in an experiment based on McMurray, Tanenhaus, and Aslin (2002). Participants heard tokens from six 9-step voice onset time (VOT) continua spanning 2 words (beach/peach, beak/peak, etc.) while viewing a screen containing pictures of those words and 2 unrelated objects. Participants selected the referent while eye movements to each picture were monitored as a measure of lexical activation. Fixations were examined as a function of both VOT and language ability.
RESULTS: Eye movements were sensitive to within-category VOT differences: As VOT approached the boundary, listeners made more fixations to the competing word. This did not interact with language ability, suggesting that language impairment is not associated with differential auditory sensitivity or phonetic categorization. Listeners with poorer language skills showed heightened competitors fixations overall, suggesting a deficit in lexical processes.
CONCLUSION: Language impairment may be better characterized by a deficit in lexical competition (inability to suppress competing words), rather than differences in phonological categorization or auditory abilities.

Entities:  

Mesh:

Year:  2014        PMID: 24687026      PMCID: PMC4126886          DOI: 10.1044/2014_JSLHR-L-13-0196

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  70 in total

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2.  Which People with Specific Language Impairment have Auditory Processing Deficits?

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3.  Speech and non-speech processing in people with specific language impairment: a behavioural and electrophysiological study.

Authors:  G M McArthur; D V M Bishop
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Authors:  R S Newman; J R Sawusch; P A Luce
Journal:  J Exp Psychol Hum Percept Perform       Date:  1997-06       Impact factor: 3.332

5.  The TRACE model of speech perception.

Authors:  J L McClelland; J L Elman
Journal:  Cogn Psychol       Date:  1986-01       Impact factor: 3.468

6.  Functional parallelism in spoken word-recognition.

Authors:  W D Marslen-Wilson
Journal:  Cognition       Date:  1987-03

7.  Developmental aphasia: a speculative view with therapeutic implications.

Authors:  J Eisenson
Journal:  J Speech Hear Disord       Date:  1968-02

8.  Neurophysiological indexes of speech processing deficits in children with specific language impairment.

Authors:  Valerie L Shafer; Mara L Morr; Hia Datta; Diane Kurtzberg; Richard G Schwartz
Journal:  J Cogn Neurosci       Date:  2005-07       Impact factor: 3.225

9.  Lexical representations in children with SLI: evidence from a frequency-manipulated gating task.

Authors:  Elina Mainela-Arnold; Julia L Evans; Jeffry A Coady
Journal:  J Speech Lang Hear Res       Date:  2008-04       Impact factor: 2.297

10.  Children with specific language impairments perceive speech most categorically when tokens are natural and meaningful.

Authors:  Jeffry A Coady; Julia L Evans; Elina Mainela-Arnold; Keith R Kluender
Journal:  J Speech Lang Hear Res       Date:  2007-02       Impact factor: 2.297

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  16 in total

1.  The Effect of Residual Acoustic Hearing and Adaptation to Uncertainty on Speech Perception in Cochlear Implant Users: Evidence From Eye-Tracking.

Authors:  Bob McMurray; Ashley Farris-Trimble; Michael Seedorff; Hannah Rigler
Journal:  Ear Hear       Date:  2016 Jan-Feb       Impact factor: 3.570

2.  Lexical processing of nouns and verbs at 36 months of age predicts concurrent and later vocabulary and school readiness.

Authors:  Ashley Koenig; Sudha Arunachalam; Kimberly J Saudino
Journal:  J Cogn Dev       Date:  2020-08-26

3.  Evaluating the sources and functions of gradiency in phoneme categorization: An individual differences approach.

Authors:  Efthymia C Kapnoula; Matthew B Winn; Eun Jong Kong; Jan Edwards; Bob McMurray
Journal:  J Exp Psychol Hum Percept Perform       Date:  2017-04-13       Impact factor: 3.332

4.  A real-time mechanism underlying lexical deficits in developmental language disorder: Between-word inhibition.

Authors:  Bob McMurray; Jamie Klein-Packard; J Bruce Tomblin
Journal:  Cognition       Date:  2019-06-21

5.  Speech categorization develops slowly through adolescence.

Authors:  Bob McMurray; Ani Danelz; Hannah Rigler; Michael Seedorff
Journal:  Dev Psychol       Date:  2018-06-28

6.  The Downside of Greater Lexical Influences: Selectively Poorer Speech Perception in Noise.

Authors:  Boji P W Lam; Zilong Xie; Rachel Tessmer; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2017-06-10       Impact factor: 2.297

7.  Lexical processing depends on sublexical processing: Evidence from the visual world paradigm and aphasia.

Authors:  Heather R Dial; Bob McMurray; Randi C Martin
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

8.  The slow developmental time course of real-time spoken word recognition.

Authors:  Hannah Rigler; Ashley Farris-Trimble; Lea Greiner; Jessica Walker; J Bruce Tomblin; Bob McMurray
Journal:  Dev Psychol       Date:  2015-10-19

9.  Waiting for lexical access: Cochlear implants or severely degraded input lead listeners to process speech less incrementally.

Authors:  Bob McMurray; Ashley Farris-Trimble; Hannah Rigler
Journal:  Cognition       Date:  2017-09-14

Review 10.  Lexical learning and lexical processing in children with developmental language impairments.

Authors:  Kate Nation
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-09       Impact factor: 6.237

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