A multimodal corpus of rapid dialogue games

Autores
Paetzel, Maike; Racca, David Nicolás; De Vault, David
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Ponencia presentada en la Ninth International Conference on Language Resources and Evaluation (LREC'14)
Fil: Paetzel, Maike. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: De Vault, David. University of Southern California. Institute for Creative Technologies; United States of America.
This paper presents a multimodal corpus of spoken human-human dialogues collected as participants played a series of Rapid DialogueGames (RDGs). The corpus consists of a collection of about 11 hours of spoken audio, video, and Microsoft Kinect data taken from 384game interactions (dialogues). The games used for collecting the corpus required participants to give verbal descriptions of linguisticexpressions or visual images and were specifically designed to engage players in a fast-paced conversation under time pressure. As aresult, the corpus contains many examples of participants attempting to communicate quickly in specific game situations, and it alsoincludes a variety of spontaneous conversational phenomena such as hesitations, filled pauses, overlapping speech, and low-latencyresponses. The corpus has been created to facilitate research in incremental speech processing for spoken dialogue systems. Potentially,the corpus could be used in several areas of speech and language research, including speech recognition, natural language understanding,natural language generation, and dialogue management.
Fil: Paetzel, Maike. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: De Vault, David. University of Southern California. Institute for Creative Technologies; United States of America.
Ciencias de la Computación
Materia
Dialogue
Speech
Games
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/19005
Acceder
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oai_identifier_str oai:rdu.unc.edu.ar:11086/19005
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling A multimodal corpus of rapid dialogue gamesPaetzel, MaikeRacca, David NicolásDe Vault, DavidDialogueSpeechGamesPonencia presentada en la Ninth International Conference on Language Resources and Evaluation (LREC'14)Fil: Paetzel, Maike. University of Southern California. Institute for Creative Technologies; United States of America.Fil: Racca, David Nicolás. University of Southern California. Institute for Creative Technologies; United States of America.Fil: Racca, David Nicolás. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: De Vault, David. University of Southern California. Institute for Creative Technologies; United States of America.This paper presents a multimodal corpus of spoken human-human dialogues collected as participants played a series of Rapid DialogueGames (RDGs). The corpus consists of a collection of about 11 hours of spoken audio, video, and Microsoft Kinect data taken from 384game interactions (dialogues). The games used for collecting the corpus required participants to give verbal descriptions of linguisticexpressions or visual images and were specifically designed to engage players in a fast-paced conversation under time pressure. As aresult, the corpus contains many examples of participants attempting to communicate quickly in specific game situations, and it alsoincludes a variety of spontaneous conversational phenomena such as hesitations, filled pauses, overlapping speech, and low-latencyresponses. The corpus has been created to facilitate research in incremental speech processing for spoken dialogue systems. Potentially,the corpus could be used in several areas of speech and language research, including speech recognition, natural language understanding,natural language generation, and dialogue management.Fil: Paetzel, Maike. University of Southern California. Institute for Creative Technologies; United States of America.Fil: Racca, David Nicolás. University of Southern California. Institute for Creative Technologies; United States of America.Fil: Racca, David Nicolás. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: De Vault, David. University of Southern California. Institute for Creative Technologies; United States of America.Ciencias de la Computación2014info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://www.lrec-conf.org/proceedings/lrec2014/pdf/697_Paper.pdfhttp://hdl.handle.net/11086/19005enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-10-23T11:18:25Zoai:rdu.unc.edu.ar:11086/19005Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-10-23 11:18:26.024Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv A multimodal corpus of rapid dialogue games
title A multimodal corpus of rapid dialogue games
spellingShingle A multimodal corpus of rapid dialogue games
Paetzel, Maike
Dialogue
Speech
Games
title_short A multimodal corpus of rapid dialogue games
title_full A multimodal corpus of rapid dialogue games
title_fullStr A multimodal corpus of rapid dialogue games
title_full_unstemmed A multimodal corpus of rapid dialogue games
title_sort A multimodal corpus of rapid dialogue games
dc.creator.none.fl_str_mv Paetzel, Maike
Racca, David Nicolás
De Vault, David
author Paetzel, Maike
author_facet Paetzel, Maike
Racca, David Nicolás
De Vault, David
author_role author
author2 Racca, David Nicolás
De Vault, David
author2_role author
author
dc.subject.none.fl_str_mv Dialogue
Speech
Games
topic Dialogue
Speech
Games
dc.description.none.fl_txt_mv Ponencia presentada en la Ninth International Conference on Language Resources and Evaluation (LREC'14)
Fil: Paetzel, Maike. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: De Vault, David. University of Southern California. Institute for Creative Technologies; United States of America.
This paper presents a multimodal corpus of spoken human-human dialogues collected as participants played a series of Rapid DialogueGames (RDGs). The corpus consists of a collection of about 11 hours of spoken audio, video, and Microsoft Kinect data taken from 384game interactions (dialogues). The games used for collecting the corpus required participants to give verbal descriptions of linguisticexpressions or visual images and were specifically designed to engage players in a fast-paced conversation under time pressure. As aresult, the corpus contains many examples of participants attempting to communicate quickly in specific game situations, and it alsoincludes a variety of spontaneous conversational phenomena such as hesitations, filled pauses, overlapping speech, and low-latencyresponses. The corpus has been created to facilitate research in incremental speech processing for spoken dialogue systems. Potentially,the corpus could be used in several areas of speech and language research, including speech recognition, natural language understanding,natural language generation, and dialogue management.
Fil: Paetzel, Maike. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. University of Southern California. Institute for Creative Technologies; United States of America.
Fil: Racca, David Nicolás. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: De Vault, David. University of Southern California. Institute for Creative Technologies; United States of America.
Ciencias de la Computación
description Ponencia presentada en la Ninth International Conference on Language Resources and Evaluation (LREC'14)
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://www.lrec-conf.org/proceedings/lrec2014/pdf/697_Paper.pdf
http://hdl.handle.net/11086/19005
url http://www.lrec-conf.org/proceedings/lrec2014/pdf/697_Paper.pdf
http://hdl.handle.net/11086/19005
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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score 12.982451

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