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dc.contributor.advisor Townsend, James T. en
dc.contributor.advisor de Jong, Kenneth J. en
dc.contributor.author Silbert, Noah Haskell en
dc.date.accessioned 2010-12-13T21:02:17Z en
dc.date.available 2027-08-13T20:02:17Z en
dc.date.available 2012-03-04T02:07:32Z
dc.date.issued 2010-12-13T21:02:17Z en
dc.date.submitted 2009 en
dc.identifier.uri http://hdl.handle.net/2022/9801 en
dc.description Thesis (Ph.D.) - Indiana University, Linguistics, 2009 en
dc.description.abstract Speech perception requires the integration of information from multiple phonetic and phonological dimensions. Numerous studies have investigated the mapping between multiple acoustic-phonetic dimensions and single phonological dimensions (e.g., spectral and temporal properties of stop consonants in voicing contrasts). Many fewer studies have addressed relationships between phonological dimensions. Most such studies have focused on the perception of sequences of phones (e.g., 'bid', 'bed', 'bit', 'bet'), though some have focused on multiple phonological dimensions within phones (e.g., voicing and place of articulation in [p], [b], [t], and [d]). However, strong assumptions about relevant acoustic-phonetic dimensions and/or the nature of perceptual and decisional information integration limit previous findings in important ways. New methodological developments in the General Recognition Theory framework enable a number of these assumptions to be tested and provide a more complete model of distinct perceptual and decisional processes in speech sound identification. A Bayesian non-parametric analysis of data from four experiments probing identification of (two sets of) consonants in onset (syllable initial) and coda (syllable final) position indicate that integration of phonological information is partially independent in both perception and decision making for most subjects, and that patterns of independence and interaction vary with the set of phonological dimensions under consideration and with syllable position. en
dc.language.iso EN en
dc.publisher [Bloomington, Ind.] : Indiana University en
dc.rights This work is licensed under the Creative Commons Attribution 3.0 Unported (CC BY 3.0) license. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en
dc.subject phonetics en
dc.subject perceptual modeling en
dc.subject information integration en
dc.subject speech perception en
dc.subject phonology en
dc.subject.classification Psychology, Cognitive en
dc.subject.classification Language, Linguistics en
dc.title Integration of phonological information in obstruent consonant identification en
dc.type Doctoral Dissertation en


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