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Geometric articulatory model adapted to the production of consonants

Identifieur interne : 000B80 ( Main/Exploration ); précédent : 000B79; suivant : 000B81

Geometric articulatory model adapted to the production of consonants

Auteurs : Yves Laprie [France] ; Béatrice Vaxelaire [France] ; Martine Cadot [France]

Source :

RBID : Hal:hal-01002125

Abstract

This works deals with the construction of articulatory models which can be easily adapted to a new speaker and enable a better approximation of tongue contours corresponding to consonants. Data used are three corpora of X-ray films. The first corpus was used to construct an articulatory model and design an adaptation procedure. The evaluation carried out on the third corpus shows that this adaptation performs well. Geometric fitting provided by the first model was often insufficient in the region of the consonantal places of articulation of the second corpus. Tongue contours delineated from X-ray images were thus corrected by considering virtual articulatory targets and the weight of consonants was increased in the Principal Component Analysis (PCA). Furthermore, the coefficients of the linear components are not calculated by projecting contours onto the PCA base vectors, but with an optimization procedure so as to guarantee a good approximation in the constriction region of consonants.

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Le document en format XML

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<org type="department" xml:id="struct-423086" status="VALID">
<orgName>Department of Natural Language Processing & Knowledge Discovery</orgName>
<orgName type="acronym">LORIA - NLPKD</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
<ref type="url">http://www.loria.fr/la-recherche-en/departements/Knowledge-and-Language-Management</ref>
</desc>
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<relation active="#struct-300009" type="indirect"></relation>
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<relation name="UMR7503" active="#struct-441569" type="indirect"></relation>
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<idno type="IdRef">067077927</idno>
<idno type="RNSR">198912571S</idno>
<idno type="IdUnivLorraine">[UL]RSI--</idno>
<orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName>
<orgName type="acronym">LORIA</orgName>
<date type="start">2012-01-01</date>
<desc>
<address>
<addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.loria.fr</ref>
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<idno type="IdRef">157040569</idno>
<idno type="IdUnivLorraine">[UL]100--</idno>
<orgName>Université de Lorraine</orgName>
<orgName type="acronym">UL</orgName>
<date type="start">2012-01-01</date>
<desc>
<address>
<addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lorraine.fr/</ref>
</desc>
</org>
</tutelle>
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<org type="institution" xml:id="struct-441569" status="VALID">
<idno type="ISNI">0000000122597504</idno>
<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
<desc>
<address>
<country key="FR"></country>
</address>
<ref type="url">http://www.cnrs.fr/</ref>
</desc>
</org>
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</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
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<front>
<div type="abstract" xml:lang="en">This works deals with the construction of articulatory models which can be easily adapted to a new speaker and enable a better approximation of tongue contours corresponding to consonants. Data used are three corpora of X-ray films. The first corpus was used to construct an articulatory model and design an adaptation procedure. The evaluation carried out on the third corpus shows that this adaptation performs well. Geometric fitting provided by the first model was often insufficient in the region of the consonantal places of articulation of the second corpus. Tongue contours delineated from X-ray images were thus corrected by considering virtual articulatory targets and the weight of consonants was increased in the Principal Component Analysis (PCA). Furthermore, the coefficients of the linear components are not calculated by projecting contours onto the PCA base vectors, but with an optimization procedure so as to guarantee a good approximation in the constriction region of consonants.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Alsace (région administrative)</li>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Metz</li>
<li>Nancy</li>
<li>Strasbourg</li>
</settlement>
<orgName>
<li>Université de Lorraine</li>
<li>Université de Strasbourg</li>
</orgName>
</list>
<tree>
<country name="France">
<region name="Grand Est">
<name sortKey="Laprie, Yves" sort="Laprie, Yves" uniqKey="Laprie Y" first="Yves" last="Laprie">Yves Laprie</name>
</region>
<name sortKey="Cadot, Martine" sort="Cadot, Martine" uniqKey="Cadot M" first="Martine" last="Cadot">Martine Cadot</name>
<name sortKey="Vaxelaire, Beatrice" sort="Vaxelaire, Beatrice" uniqKey="Vaxelaire B" first="Béatrice" last="Vaxelaire">Béatrice Vaxelaire</name>
</country>
</tree>
</affiliations>
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