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Integration of Multiple Speech Segmentation Cues

A Hierarchical Framework.

Bibliographic Data

ID23345229
AuthorsSven L Mattys (0000-0001-6542-585X, University of Bristol), Laurence White (0000-0002-8299-2167), James F Melhorn
Year2005
Volume134
Issue4
Pages477-500
Publication date2005-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Experimental Psychology: General (JOURNAL)
Journal identifiersISSN: 0096-3445 • E-ISSN: 1939-2222
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/0096-3445.134.4.477
PMID16316287
OpenAlexW2012754613
LanguageEN
Citations received61
References cited74

A central question in psycholinguistic research is how listeners isolate words from connected speech despite the paucity of clear word-boundary cues in the signal. A large body of empirical evidence indicates that word segmentation is promoted by both lexical (knowledge-derived) and sublexical (signal-derived) cues. However, an account of how these cues operate in combination or in conflict is lacking. The present study fills this gap by assessing speech segmentation when cues are systematically pitted against each other. The results demonstrate that listeners do not assign the same power to all segmentation cues; rather, cues are hierarchically integrated, with descending weights allocated to lexical, segmental, and prosodic cues. Lower level cues drive segmentation when the interpretive conditions are altered by a lack of contextual and lexical information or by white noise. Taken together, the results call for an integrated, hierarchical, and signal-contingent approach to speech segmentation.

Cognitive psychology · Cue-dependent forgetting · Natural language processing · Segmentation · Sensory cue · Speech recognition · Speech segmentation · Artificial Intelligence · Computer Science · Linguistic Variation and Morphology · Neurobiology of Language and Bilingualism · Phonetics and Phonology Research · Psychology

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Unique citing works61
Citations per year3,39
Citation span2008 - 2026 (19)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 57

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