A comprehensive system for facial animation of generic 3D head models driven by speech

Autores
Terissi, Lucas Daniel; Cerda, Mauricio; Gómez, Juan Carlos; Hitschfeld-kahler, Nancy; Girau, Bernard
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A comprehensive system for facial animation of generic 3D head models driven by speech is presented in this article. In the training stage, audio-visual information is extracted from audio-visual training data, and then used to compute the parameters of a single joint audio-visual hidden Markov model (AV-HMM). In contrast to most of the methods in the literature, the proposed approach does not require segmentation/classification processing stages of the audio-visual data, avoiding the error propagation related to these procedures. The trained AV-HMM provides a compact representation of the audio-visual data, without the need of phoneme (word) segmentation, which makes it adaptable to different languages. Visual features are estimated from the speech signal based on the inversion of the AV-HMM. The estimated visual speech features are used to animate a simple face model. The animation of a more complex head model is then obtained by automatically mapping the deformation of the simple model to it, using a small number of control points for the interpolation. The proposed algorithm allows the animation of 3D head models of arbitrary complexity through a simple setup procedure. The resulting animation is evaluated in terms of intelligibility of visual speech through perceptual tests, showing a promising performance. The computational complexity of the proposed system is analyzed, showing the feasibility of its real-time implementation.
Fil: Terissi, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Fil: Cerda, Mauricio. Universidad Austral de Chile; Chile;
Fil: Gómez, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Fil: Hitschfeld-kahler, Nancy. Universidad de Chile. Departamento de Ciencias de la Computación; Argentina;
Fil: Girau, Bernard. Loria - INRIA Nancy Grand Est. Cortex Team. Vandoeuvre-lès-Nancy; Francia;
Materia
Facial Animation
Hidden Markov Models
Audio Visual Speech Processing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/1438

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A comprehensive system for facial animation of generic 3D head models driven by speechTerissi, Lucas DanielCerda, MauricioGómez, Juan CarlosHitschfeld-kahler, NancyGirau, BernardFacial AnimationHidden Markov ModelsAudio Visual Speech Processinghttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2A comprehensive system for facial animation of generic 3D head models driven by speech is presented in this article. In the training stage, audio-visual information is extracted from audio-visual training data, and then used to compute the parameters of a single joint audio-visual hidden Markov model (AV-HMM). In contrast to most of the methods in the literature, the proposed approach does not require segmentation/classification processing stages of the audio-visual data, avoiding the error propagation related to these procedures. The trained AV-HMM provides a compact representation of the audio-visual data, without the need of phoneme (word) segmentation, which makes it adaptable to different languages. Visual features are estimated from the speech signal based on the inversion of the AV-HMM. The estimated visual speech features are used to animate a simple face model. The animation of a more complex head model is then obtained by automatically mapping the deformation of the simple model to it, using a small number of control points for the interpolation. The proposed algorithm allows the animation of 3D head models of arbitrary complexity through a simple setup procedure. The resulting animation is evaluated in terms of intelligibility of visual speech through perceptual tests, showing a promising performance. The computational complexity of the proposed system is analyzed, showing the feasibility of its real-time implementation.Fil: Terissi, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Fil: Cerda, Mauricio. Universidad Austral de Chile; Chile;Fil: Gómez, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Fil: Hitschfeld-kahler, Nancy. Universidad de Chile. Departamento de Ciencias de la Computación; Argentina;Fil: Girau, Bernard. Loria - INRIA Nancy Grand Est. Cortex Team. Vandoeuvre-lès-Nancy; Francia;Springer2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1438Terissi, Lucas Daniel; Cerda, Mauricio; Gómez, Juan Carlos; Hitschfeld-kahler, Nancy; Girau, Bernard; A comprehensive system for facial animation of generic 3D head models driven by speech; Springer; EURASIP Journal on Audio, Speech and Music Processing; 2013; 5; 2-2013; 1-371687-4722enginfo:eu-repo/semantics/altIdentifier/url/http://asmp.eurasipjournals.com/content/2013/1/5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:49:34Zoai:ri.conicet.gov.ar:11336/1438instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:49:34.402CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A comprehensive system for facial animation of generic 3D head models driven by speech
title A comprehensive system for facial animation of generic 3D head models driven by speech
spellingShingle A comprehensive system for facial animation of generic 3D head models driven by speech
Terissi, Lucas Daniel
Facial Animation
Hidden Markov Models
Audio Visual Speech Processing
title_short A comprehensive system for facial animation of generic 3D head models driven by speech
title_full A comprehensive system for facial animation of generic 3D head models driven by speech
title_fullStr A comprehensive system for facial animation of generic 3D head models driven by speech
title_full_unstemmed A comprehensive system for facial animation of generic 3D head models driven by speech
title_sort A comprehensive system for facial animation of generic 3D head models driven by speech
dc.creator.none.fl_str_mv Terissi, Lucas Daniel
Cerda, Mauricio
Gómez, Juan Carlos
Hitschfeld-kahler, Nancy
Girau, Bernard
author Terissi, Lucas Daniel
author_facet Terissi, Lucas Daniel
Cerda, Mauricio
Gómez, Juan Carlos
Hitschfeld-kahler, Nancy
Girau, Bernard
author_role author
author2 Cerda, Mauricio
Gómez, Juan Carlos
Hitschfeld-kahler, Nancy
Girau, Bernard
author2_role author
author
author
author
dc.subject.none.fl_str_mv Facial Animation
Hidden Markov Models
Audio Visual Speech Processing
topic Facial Animation
Hidden Markov Models
Audio Visual Speech Processing
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A comprehensive system for facial animation of generic 3D head models driven by speech is presented in this article. In the training stage, audio-visual information is extracted from audio-visual training data, and then used to compute the parameters of a single joint audio-visual hidden Markov model (AV-HMM). In contrast to most of the methods in the literature, the proposed approach does not require segmentation/classification processing stages of the audio-visual data, avoiding the error propagation related to these procedures. The trained AV-HMM provides a compact representation of the audio-visual data, without the need of phoneme (word) segmentation, which makes it adaptable to different languages. Visual features are estimated from the speech signal based on the inversion of the AV-HMM. The estimated visual speech features are used to animate a simple face model. The animation of a more complex head model is then obtained by automatically mapping the deformation of the simple model to it, using a small number of control points for the interpolation. The proposed algorithm allows the animation of 3D head models of arbitrary complexity through a simple setup procedure. The resulting animation is evaluated in terms of intelligibility of visual speech through perceptual tests, showing a promising performance. The computational complexity of the proposed system is analyzed, showing the feasibility of its real-time implementation.
Fil: Terissi, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Fil: Cerda, Mauricio. Universidad Austral de Chile; Chile;
Fil: Gómez, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Fil: Hitschfeld-kahler, Nancy. Universidad de Chile. Departamento de Ciencias de la Computación; Argentina;
Fil: Girau, Bernard. Loria - INRIA Nancy Grand Est. Cortex Team. Vandoeuvre-lès-Nancy; Francia;
description A comprehensive system for facial animation of generic 3D head models driven by speech is presented in this article. In the training stage, audio-visual information is extracted from audio-visual training data, and then used to compute the parameters of a single joint audio-visual hidden Markov model (AV-HMM). In contrast to most of the methods in the literature, the proposed approach does not require segmentation/classification processing stages of the audio-visual data, avoiding the error propagation related to these procedures. The trained AV-HMM provides a compact representation of the audio-visual data, without the need of phoneme (word) segmentation, which makes it adaptable to different languages. Visual features are estimated from the speech signal based on the inversion of the AV-HMM. The estimated visual speech features are used to animate a simple face model. The animation of a more complex head model is then obtained by automatically mapping the deformation of the simple model to it, using a small number of control points for the interpolation. The proposed algorithm allows the animation of 3D head models of arbitrary complexity through a simple setup procedure. The resulting animation is evaluated in terms of intelligibility of visual speech through perceptual tests, showing a promising performance. The computational complexity of the proposed system is analyzed, showing the feasibility of its real-time implementation.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/1438
Terissi, Lucas Daniel; Cerda, Mauricio; Gómez, Juan Carlos; Hitschfeld-kahler, Nancy; Girau, Bernard; A comprehensive system for facial animation of generic 3D head models driven by speech; Springer; EURASIP Journal on Audio, Speech and Music Processing; 2013; 5; 2-2013; 1-37
1687-4722
url http://hdl.handle.net/11336/1438
identifier_str_mv Terissi, Lucas Daniel; Cerda, Mauricio; Gómez, Juan Carlos; Hitschfeld-kahler, Nancy; Girau, Bernard; A comprehensive system for facial animation of generic 3D head models driven by speech; Springer; EURASIP Journal on Audio, Speech and Music Processing; 2013; 5; 2-2013; 1-37
1687-4722
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://asmp.eurasipjournals.com/content/2013/1/5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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