Automatic adaptation of a vocal tract model
Identifieur interne : 002375 ( Hal/Checkpoint ); précédent : 002374; suivant : 002376Automatic adaptation of a vocal tract model
Auteurs : Blaise Potard [France] ; Yves Laprie [France]Source :
English descriptors
Abstract
In this paper we present a method for adapting an articulatory model to a new speaker from acoustic data only. The main goal of this method is to make acoustic-to-articulatory inversion a fully automatic process. Speaker-specificity is modeled by a two dimensional scale factor, which makes it more flexible than VTLN methods. Validation of the method is performed on three speakers by comparing the scale factors found on medical images of the vocal tract and those estimated. These experiments show that the method is accurate provided that the speech material covers a wide acoustic space. Two additional experiments on longitudinal acoustic data are presented, in order to study vocal tract evolution with age.
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Hal:inria-00544363Le document en format XML
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<front><div type="abstract" xml:lang="en">In this paper we present a method for adapting an articulatory model to a new speaker from acoustic data only. The main goal of this method is to make acoustic-to-articulatory inversion a fully automatic process. Speaker-specificity is modeled by a two dimensional scale factor, which makes it more flexible than VTLN methods. Validation of the method is performed on three speakers by comparing the scale factors found on medical images of the vocal tract and those estimated. These experiments show that the method is accurate provided that the speech material covers a wide acoustic space. Two additional experiments on longitudinal acoustic data are presented, in order to study vocal tract evolution with age.</div>
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<idno type="halRefHtml">Proceedings of the 18th European Signal Processing Conference - EUSIPCO-2010, Aug 2010, Aalborg, Denmark. 2010</idno>
<idno type="halRef">Proceedings of the 18th European Signal Processing Conference - EUSIPCO-2010, Aug 2010, Aalborg, Denmark. 2010</idno>
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<seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
<idno type="stamp" n="LORIA2">Publications du LORIA</idno>
<idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno>
<idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno>
<idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno>
<idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno>
<idno type="stamp" n="INRIA2">INRIA 2</idno>
<idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno>
<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Automatic adaptation of a vocal tract model</title>
<author role="aut"><persName><forename type="first">Blaise</forename>
<surname>Potard</surname>
</persName>
<email>Blaise.Potard@loria.fr</email>
<idno type="halAuthorId">217274</idno>
<orgName ref="#struct-441569"></orgName>
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</author>
<author role="aut"><persName><forename type="first">Yves</forename>
<surname>Laprie</surname>
</persName>
<email>Yves.Laprie@loria.fr</email>
<idno type="idHal">yves-laprie</idno>
<idno type="halAuthorId">58846</idno>
<affiliation ref="#struct-2359"></affiliation>
</author>
</analytic>
<monogr><meeting><title>Proceedings of the 18th European Signal Processing Conference - EUSIPCO-2010</title>
<date type="start">2010-08-23</date>
<date type="end">2010-08-27</date>
<settlement>Aalborg</settlement>
<country key="DK">Denmark</country>
</meeting>
<imprint><date type="datePub">2010-08</date>
</imprint>
</monogr>
</biblStruct>
</sourceDesc>
<profileDesc><langUsage><language ident="en">English</language>
</langUsage>
<textClass><keywords scheme="author"><term xml:lang="en">automatic speech processing</term>
<term xml:lang="en">acoustic-to-articulatory inversion</term>
<term xml:lang="en">speaker adaptation</term>
</keywords>
<classCode scheme="halDomain" n="info.info-cl">Computer Science [cs]/Computation and Language [cs.CL]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
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<abstract xml:lang="en">In this paper we present a method for adapting an articulatory model to a new speaker from acoustic data only. The main goal of this method is to make acoustic-to-articulatory inversion a fully automatic process. Speaker-specificity is modeled by a two dimensional scale factor, which makes it more flexible than VTLN methods. Validation of the method is performed on three speakers by comparing the scale factors found on medical images of the vocal tract and those estimated. These experiments show that the method is accurate provided that the speech material covers a wide acoustic space. Two additional experiments on longitudinal acoustic data are presented, in order to study vocal tract evolution with age.</abstract>
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