Noisy Speech Recognition Based on Combined Audio-Visual Classifiers

Autores
Terissi, Lucas Daniel; Sad, Gonzalo Daniel; Gomez, Juan Carlos; Parodi, Marianela
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An isolated word speech recognition system based on audio-visual features is proposed in this paper. To enhance the recognition over different noisy conditions, this system combines three classifiers based on audio, visual and audio-visual information, respectively. The performance of the proposed recognition system is evaluated over two isolated word audio-visual databases, a public one and a database compiled by the authors of this paper. Experimental results show that the structure of the proposed system leads to significant improvements of the recognition rates through a wide range of signal-to-noise ratios.
Fil: Terissi, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Sad, Gonzalo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Gomez, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Parodi, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Materia
Noisy Speech
Audio-Visual Speech Features
Audio-Visual Information Fusion
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:11336/4799
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/4799
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Noisy Speech Recognition Based on Combined Audio-Visual ClassifiersTerissi, Lucas DanielSad, Gonzalo DanielGomez, Juan CarlosParodi, MarianelaNoisy SpeechAudio-Visual Speech FeaturesAudio-Visual Information Fusionhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2An isolated word speech recognition system based on audio-visual features is proposed in this paper. To enhance the recognition over different noisy conditions, this system combines three classifiers based on audio, visual and audio-visual information, respectively. The performance of the proposed recognition system is evaluated over two isolated word audio-visual databases, a public one and a database compiled by the authors of this paper. Experimental results show that the structure of the proposed system leads to significant improvements of the recognition rates through a wide range of signal-to-noise ratios.Fil: Terissi, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Sad, Gonzalo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Gomez, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Parodi, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaSpringer2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4799Terissi, Lucas Daniel; Sad, Gonzalo Daniel; Gomez, Juan Carlos; Parodi, Marianela; Noisy Speech Recognition Based on Combined Audio-Visual Classifiers; Springer; Lecture Notes In Computer Science; 8869; 1-2015; 43-53978-3-319-14898-4978-3-319-14899-10302-9743enginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007/978-3-319-14899-1_5info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-14899-1_5info:eu-repo/semantics/altIdentifier/issn/0302-9743info:eu-repo/semantics/altIdentifier/isbn/978-3-319-14898-4info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:51:02Zoai:ri.conicet.gov.ar:11336/4799instacron: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:34982025-09-03 09:51:02.915CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
title Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
spellingShingle Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
Terissi, Lucas Daniel
Noisy Speech
Audio-Visual Speech Features
Audio-Visual Information Fusion
title_short Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
title_full Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
title_fullStr Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
title_full_unstemmed Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
title_sort Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
dc.creator.none.fl_str_mv Terissi, Lucas Daniel
Sad, Gonzalo Daniel
Gomez, Juan Carlos
Parodi, Marianela
author Terissi, Lucas Daniel
author_facet Terissi, Lucas Daniel
Sad, Gonzalo Daniel
Gomez, Juan Carlos
Parodi, Marianela
author_role author
author2 Sad, Gonzalo Daniel
Gomez, Juan Carlos
Parodi, Marianela
author2_role author
author
author
dc.subject.none.fl_str_mv Noisy Speech
Audio-Visual Speech Features
Audio-Visual Information Fusion
topic Noisy Speech
Audio-Visual Speech Features
Audio-Visual Information Fusion
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv An isolated word speech recognition system based on audio-visual features is proposed in this paper. To enhance the recognition over different noisy conditions, this system combines three classifiers based on audio, visual and audio-visual information, respectively. The performance of the proposed recognition system is evaluated over two isolated word audio-visual databases, a public one and a database compiled by the authors of this paper. Experimental results show that the structure of the proposed system leads to significant improvements of the recognition rates through a wide range of signal-to-noise ratios.
Fil: Terissi, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Sad, Gonzalo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Gomez, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Fil: Parodi, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
description An isolated word speech recognition system based on audio-visual features is proposed in this paper. To enhance the recognition over different noisy conditions, this system combines three classifiers based on audio, visual and audio-visual information, respectively. The performance of the proposed recognition system is evaluated over two isolated word audio-visual databases, a public one and a database compiled by the authors of this paper. Experimental results show that the structure of the proposed system leads to significant improvements of the recognition rates through a wide range of signal-to-noise ratios.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
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/11336/4799
Terissi, Lucas Daniel; Sad, Gonzalo Daniel; Gomez, Juan Carlos; Parodi, Marianela; Noisy Speech Recognition Based on Combined Audio-Visual Classifiers; Springer; Lecture Notes In Computer Science; 8869; 1-2015; 43-53
978-3-319-14898-4
978-3-319-14899-1
0302-9743
url http://hdl.handle.net/11336/4799
identifier_str_mv Terissi, Lucas Daniel; Sad, Gonzalo Daniel; Gomez, Juan Carlos; Parodi, Marianela; Noisy Speech Recognition Based on Combined Audio-Visual Classifiers; Springer; Lecture Notes In Computer Science; 8869; 1-2015; 43-53
978-3-319-14898-4
978-3-319-14899-1
0302-9743
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007/978-3-319-14899-1_5
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-14899-1_5
info:eu-repo/semantics/altIdentifier/issn/0302-9743
info:eu-repo/semantics/altIdentifier/isbn/978-3-319-14898-4
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
application/pdf
application/pdf
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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score 13.13397

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