Stochastic Time Models of Syllable Structure
Identifieur interne : 000023 ( Pmc/Curation ); précédent : 000022; suivant : 000024Stochastic Time Models of Syllable Structure
Auteurs : Jason A. Shaw [Australie] ; Adamantios I. Gafos [Allemagne, États-Unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2015.
Abstract
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 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.
Url:
DOI: 10.1371/journal.pone.0124714
PubMed: 25996153
PubMed Central: 4440707
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<front><div type="abstract" xml:lang="en"><p>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 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.</p>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group><journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher><publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">25996153</article-id>
<article-id pub-id-type="pmc">4440707</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0124714</article-id>
<article-id pub-id-type="publisher-id">PONE-D-14-45802</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Stochastic Time Models of Syllable Structure</article-title>
<alt-title alt-title-type="running-head">Stochastic Time Models of Syllable Structure</alt-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Shaw</surname>
<given-names>Jason A.</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup>
</xref>
<xref rid="cor001" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Gafos</surname>
<given-names>Adamantios I.</given-names>
</name>
<xref ref-type="aff" rid="aff003"><sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff004"><sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label>
<addr-line>MARCS Institute, University of Western Sydney, Penrith, New South Wales, Australia</addr-line>
</aff>
<aff id="aff002"><label>2</label>
<addr-line>School of Humanities and Communication Arts, University of Western Sydney, Penrith, New South Wales, Australia</addr-line>
</aff>
<aff id="aff003"><label>3</label>
<addr-line>Faculty of Human Sciences, University of Potsdam, Potsdam, Germany</addr-line>
</aff>
<aff id="aff004"><label>4</label>
<addr-line>Haskins Laboratories, New Haven, Connecticut, United States of America</addr-line>
</aff>
<contrib-group><contrib contrib-type="editor"><name><surname>Berent</surname>
<given-names>Iris</given-names>
</name>
<role>Academic Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>Northeastern University, UNITED STATES</addr-line>
</aff>
<author-notes><fn fn-type="conflict" id="coi001"><p><bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con" id="contrib001"><p>Analyzed the data: JS AG. Contributed reagents/materials/analysis tools: JS AG. Wrote the paper: JS AG.</p>
</fn>
<corresp id="cor001">* E-mail: <email>J.Shaw@uws.edu.au</email>
</corresp>
</author-notes>
<pub-date pub-type="epub"><day>21</day>
<month>5</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection"><year>2015</year>
</pub-date>
<volume>10</volume>
<issue>5</issue>
<elocation-id>e0124714</elocation-id>
<history><date date-type="received"><day>12</day>
<month>10</month>
<year>2014</year>
</date>
<date date-type="accepted"><day>13</day>
<month>3</month>
<year>2015</year>
</date>
</history>
<permissions><copyright-year>2015</copyright-year>
<copyright-holder>Shaw, Gafos</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0124714.pdf"></self-uri>
<abstract><p>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 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.</p>
</abstract>
<funding-group><funding-statement>This research has been supported in part by grants from the European Research Council (<ext-link ext-link-type="uri" xlink:href="http://erc.europa.eu/">http://erc.europa.eu/</ext-link>
), ERC STIMOS 249440, Australian Research Council (<ext-link ext-link-type="uri" xlink:href="http://www.arc.gov.au/">http://www.arc.gov.au/</ext-link>
), ARC DECRA DE120101289, and the National Science Foundation (<ext-link ext-link-type="uri" xlink:href="http://www.nsf.gov/">http://www.nsf.gov/</ext-link>
), NSF Grant No. 0922437. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts><fig-count count="11"></fig-count>
<table-count count="6"></table-count>
<page-count count="36"></page-count>
</counts>
<custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes><title>Data Availability</title>
<p>All relevant data are within the paper and its Supporting Information files.</p>
</notes>
</front>
</pmc>
</record>
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