InforLorV4, Hal, Corpus, bibRecord, 000721

A low-cost stereovision based system for acquisition of visible articulatory data

Identifieur interne : 000721 ( Hal/Corpus ); précédent : 000720; suivant : 000722

A low-cost stereovision based system for acquisition of visible articulatory data

Auteurs : Brigitte Wrobel-Dautcourt ; Marie-Odile Berger ; Blaise Potard ; Yves Laprie ; Slim Ouni

Source :

RBID : Hal:inria-00000432

English descriptors

mix :
- Talking head, coarticulation, stereovision, tracking.

Abstract

In this paper, we present the 3D acquisition infrastructure we developed for building a talking face and studying some aspects of visual speech. A short-term aim is to study coarticulation for the French language and to develop a model which respects a real talker articulation. One key factor is to be able to acquire a large amount of 3D data with a low-cost system more flexible than existing motion capture systems (using infrared cameras and glued markers). Our system only uses two standard cameras, a PC and painted markers that do not change speech articulation and provides a sufficiently fast acquisition rate to enable an efficient temporal tracking of 3D points. We present here our stereovision data capture system and how these data can be used in acoustic-to-articulatory inversion

Url:

https://hal.inria.fr/inria-00000432

Links to Exploration step

Hal:inria-00000432

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we present the 3D acquisition infrastructure we developed for building a talking face and studying some aspects of visual speech. A short-term aim is to study coarticulation for the French language and to develop a model which respects a real talker articulation. One key factor is to be able to acquire a large amount of 3D data with a low-cost system more flexible than existing motion capture systems (using infrared cameras and glued markers). Our system only uses two standard cameras, a PC and painted markers that do not change speech articulation and provides a sufficiently fast acquisition rate to enable an efficient temporal tracking of 3D points. We present here our stereovision data capture system and how these data can be used in acoustic-to-articulatory inversion</div>
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<hal api="V3"><titleStmt><title xml:lang="en">A low-cost stereovision based system for acquisition of visible articulatory data</title>
<author role="aut"><persName><forename type="first">Brigitte</forename>
<surname>Wrobel-Dautcourt</surname>
</persName>
<email>Brigitte.Wrobel-Dautcourt@loria.fr</email>
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<author role="aut"><persName><forename type="first">Marie-Odile</forename>
<surname>Berger</surname>
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<email>berger@loria.fr</email>
<idno type="halauthor">61390</idno>
<affiliation ref="#struct-2585"></affiliation>
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<author role="aut"><persName><forename type="first">Blaise</forename>
<surname>Potard</surname>
</persName>
<email></email>
<idno type="halauthor">62776</idno>
<affiliation ref="#struct-2359"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Yves</forename>
<surname>Laprie</surname>
</persName>
<email></email>
<idno type="idhal">yves-laprie</idno>
<idno type="halauthor">62777</idno>
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<author role="aut"><persName><forename type="first">Slim</forename>
<surname>Ouni</surname>
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<email></email>
<idno type="halauthor">62778</idno>
<affiliation ref="#struct-2359"></affiliation>
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<editor role="depositor"><persName><forename>Brigitte</forename>
<surname>Wrobel-Dautcourt</surname>
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<email>Brigitte.Wrobel-Dautcourt@loria.fr</email>
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<editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-10-13 10:13:43</date>
<date type="whenModified">2016-05-18 08:55:53</date>
<date type="whenReleased">2005-10-13 10:22:53</date>
<date type="whenProduced">2005-07</date>
<date type="whenEndEmbargoed">2005-10-13</date>
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<name key="103499"><persName><forename>Brigitte</forename>
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<idno type="halRefHtml">5th Conference on Auditory-Visual Speech Processing - AVSP'2005, Jul 2005, Vancouver Island (BC), Canada. 2005</idno>
<idno type="halRef">5th Conference on Auditory-Visual Speech Processing - AVSP'2005, Jul 2005, Vancouver Island (BC), Canada. 2005</idno>
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<seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
<idno type="stamp" n="LORIA2">Publications du LORIA</idno>
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<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>
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<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">A low-cost stereovision based system for acquisition of visible articulatory data</title>
<author role="aut"><persName><forename type="first">Brigitte</forename>
<surname>Wrobel-Dautcourt</surname>
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<author role="aut"><persName><forename type="first">Marie-Odile</forename>
<surname>Berger</surname>
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<email>berger@loria.fr</email>
<idno type="halAuthorId">61390</idno>
<affiliation ref="#struct-2585"></affiliation>
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<author role="aut"><persName><forename type="first">Blaise</forename>
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</persName>
<idno type="halAuthorId">62776</idno>
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<author role="aut"><persName><forename type="first">Yves</forename>
<surname>Laprie</surname>
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<author role="aut"><persName><forename type="first">Slim</forename>
<surname>Ouni</surname>
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<idno type="halAuthorId">62778</idno>
<affiliation ref="#struct-2359"></affiliation>
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<monogr><meeting><title>5th Conference on Auditory-Visual Speech Processing - AVSP'2005</title>
<date type="start">2005-07</date>
<settlement>Vancouver Island (BC)</settlement>
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<abstract xml:lang="en">In this paper, we present the 3D acquisition infrastructure we developed for building a talking face and studying some aspects of visual speech. A short-term aim is to study coarticulation for the French language and to develop a model which respects a real talker articulation. One key factor is to be able to acquire a large amount of 3D data with a low-cost system more flexible than existing motion capture systems (using infrared cameras and glued markers). Our system only uses two standard cameras, a PC and painted markers that do not change speech articulation and provides a sufficiently fast acquisition rate to enable an efficient temporal tracking of 3D points. We present here our stereovision data capture system and how these data can be used in acoustic-to-articulatory inversion</abstract>
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A low-cost stereovision based system for acquisition of visible articulatory data

A low-cost stereovision based system for acquisition of visible articulatory data

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