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Connectionist modeling of speech perception

Bibliographic Data

ID4422326
AuthorsEgil Tornqvist (corresponding author), Athanassios Protopapas (0000-0002-7285-8845, corresponding author)
Year1999
Volume125
Issue4
Pages410-436
Publication date1999-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychological Bulletin (JOURNAL)
Journal identifiersISSN: 0033-2909 • E-ISSN: 1939-1455
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037//0033-2909.125.4.410
OpenAlexW4210698222
LanguageEN
Citations received4

Connectionist models of perception and cognition, including the process of deducing meaningful messages from patterns of acoustic waves emitted by vocal tracts, are developed and refined as human understanding of brain function, psychological processes, and the properties of massively parallel architectures advances. The present article presents several important contributions from diverse points of view in the area of connectionist modeling of speech perception and discusses their relative merits with respect to specific theoretical issues and empirical findings. TRACE, the Elman/Norris net, and Adaptive Resonance Theory constitute pivotal points exemplifying overall modeling success, progress in temporal representation, and plausible modeling of learning, respectively. Other modeling efforts are presented for the specific insights they offer, and the article concludes with a discussion of computational versus dynamic modeling of phonological processes

Art · Class (philosophy) · Cognition · Cognitive psychology · Cognitive science · Connectionism · Epistemology · Genealogy · Linguistics · Literature · Naturalism · Pariah group · Perception · Political science · Power (physics) · Psychoanalysis · Speech perception · Speech recognition · Terminology · Theology · Wife · Computer Science · Cultural Studies and Interdisciplinary Research · History · Law · Neuroscience · Philosophy · Phonetics and Phonology Research · Psychology

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    Open Access•Chelsea Sanker•Journal of Phonetics•2026

  • Computational Modeling of an Auditory Lexical Decision Experiment Using Diana

    Open Access•Filip Nenadić, Benjamin V Tucker et al.•Language and Speech•2023

  • How Perceptual Learning Extends Across Vowels

    Open Access•Chelsea Sanker•Language and Speech•2026

  • Influence of syllable-coda voicing on the acoustic properties of syllable-onset /l/ in English

    Open Access•Sarah Hawkin, Sarah Hawkins et al.•Journal of Phonetics•2004

Unique citing works4
Citations per year0,18
Citation span2004 - 2026 (23)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4
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