Stochastic time models of syllable structure
- Drawing on phonology research within the generative linguistics tradition, stochastic methods, and notions from complex systems, we develop a modelling paradigm linking phonological structure, expressed in terms of syllables, to speech movement data acquired with 3D electromagnetic articulography and X-ray microbeam methods. The essential variable in the models is syllable structure. When mapped to discrete coordination topologies, syllabic organization imposes systematic patterns of variability on the temporal dynamics of speech articulation. We simulated these dynamics under different syllabic parses and evaluated simulations against experimental data from Arabic and English, two languages claimed to parse similar strings of segments into different syllabic structures. Model simulations replicated several key experimental results, including the fallibility of past phonetic heuristics for syllable structure, and exposed the range of conditions under which such heuristics remain valid. More importantly, the modelling approachDrawing on phonology research within the generative linguistics tradition, stochastic methods, and notions from complex systems, we develop a modelling paradigm linking phonological structure, expressed in terms of syllables, to speech movement data acquired with 3D electromagnetic articulography and X-ray microbeam methods. The essential variable in the models is syllable structure. When mapped to discrete coordination topologies, syllabic organization imposes systematic patterns of variability on the temporal dynamics of speech articulation. We simulated these dynamics under different syllabic parses and evaluated simulations against experimental data from Arabic and English, two languages claimed to parse similar strings of segments into different syllabic structures. Model simulations replicated several key experimental results, including the fallibility of past phonetic heuristics for syllable structure, and exposed the range of conditions under which such heuristics remain valid. More importantly, the modelling approach consistently diagnosed syllable structure proving resilient to multiple sources of variability in experimental data including measurement variability, speaker variability, and contextual variability. Prospects for extensions of our modelling paradigm to acoustic data are also discussed.…
Author details: | Jason A. Shaw, Adamantios I. GafosORCiDGND |
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URN: | urn:nbn:de:kobv:517-opus4-409815 |
DOI: | https://doi.org/10.25932/publishup-40981 |
ISSN: | 1866-8364 |
Title of parent work (English): | Postprints der Universität Potsdam : Humanwissenschaftliche Reihe |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (514) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2019/01/29 |
Publication year: | 2015 |
Publishing institution: | Universität Potsdam |
Release date: | 2019/01/29 |
Tag: | articulation; categories; complex onsets; cues; english; perception; phonology; speech production; syllabication; temporal organization |
Issue: | 514 |
Number of pages: | 36 |
Source: | PLOS ONE 10 (2015) 5, Art. e0124714 DOI 10.1371/journal.pone.0124714 |
Organizational units: | Humanwissenschaftliche Fakultät |
DDC classification: | 5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik |
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit | |
Peer review: | Referiert |
Publishing method: | Open Access |
Grantor: | Public Library of Science (PLOS) |
License (German): | CC-BY - Namensnennung 4.0 International |
External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |