Implementing acoustic-prosodic entrainment in a conversational avatar

Entrainment, aka accommodation or alignment, is the phenomenon by which conversational partners become more similar to each other in behavior. While there has been much work on some behaviors there has been little on entrainment in speech and even less on how Spoken Dialogue Systems (SDS) which entr...

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Autores principales:	Levitan, R., Beňuš, Š., Gálvez, R.H., Gravano, A., Savoretti, F., Trnka, M., Weise, A., Hirschberg, J., Morgan N., Georgiou P., Narayanan S., Metze F., Amazon Alexa; Apple; eBay; et al.; Google; Microsoft
Formato:	CONF
Materias:	Alignment Avatars Entrainment Virtual agents Air entrainment Behavioral research Speech Speech processing Spoken dialogue system Virtual agent Speech communication
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_2308457X_v08-12-September-2016_n_p1166_Levitan
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_2308457X_v08-12-September-2016_n_p1166_Levitan
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spelling	todo:paper_2308457X_v08-12-September-2016_n_p1166_Levitan2023-10-03T16:40:50Z Implementing acoustic-prosodic entrainment in a conversational avatar Levitan, R. Beňuš, Š. Gálvez, R.H. Gravano, A. Savoretti, F. Trnka, M. Weise, A. Hirschberg, J. Morgan N. Georgiou P. Morgan N. Narayanan S. Metze F. Amazon Alexa; Apple; eBay; et al.; Google; Microsoft Alignment Avatars Entrainment Virtual agents Air entrainment Alignment Behavioral research Speech Speech processing Avatars Spoken dialogue system Virtual agent Speech communication Entrainment, aka accommodation or alignment, is the phenomenon by which conversational partners become more similar to each other in behavior. While there has been much work on some behaviors there has been little on entrainment in speech and even less on how Spoken Dialogue Systems (SDS) which entrain to their users' speech can be created. We present an architecture and algorithm for implementing acoustic-prosodic entrainment in SDS and show that speech produced under this algorithm conforms to the feature targets, satisfying the properties of entrainment behavior observed in human-human conversations. We present results of an extrinsic evaluation of this method, comparing whether subjects are more likely to ask advice from a conversational avatar that entrains vs. one that does not, in English, Spanish and Slovak SDS. Copyright © 2016 ISCA. Fil:Gravano, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_2308457X_v08-12-September-2016_n_p1166_Levitan
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Alignment Avatars Entrainment Virtual agents Air entrainment Alignment Behavioral research Speech Speech processing Avatars Spoken dialogue system Virtual agent Speech communication
spellingShingle	Alignment Avatars Entrainment Virtual agents Air entrainment Alignment Behavioral research Speech Speech processing Avatars Spoken dialogue system Virtual agent Speech communication Levitan, R. Beňuš, Š. Gálvez, R.H. Gravano, A. Savoretti, F. Trnka, M. Weise, A. Hirschberg, J. Morgan N. Georgiou P. Morgan N. Narayanan S. Metze F. Amazon Alexa; Apple; eBay; et al.; Google; Microsoft Implementing acoustic-prosodic entrainment in a conversational avatar
topic_facet	Alignment Avatars Entrainment Virtual agents Air entrainment Alignment Behavioral research Speech Speech processing Avatars Spoken dialogue system Virtual agent Speech communication
description	Entrainment, aka accommodation or alignment, is the phenomenon by which conversational partners become more similar to each other in behavior. While there has been much work on some behaviors there has been little on entrainment in speech and even less on how Spoken Dialogue Systems (SDS) which entrain to their users' speech can be created. We present an architecture and algorithm for implementing acoustic-prosodic entrainment in SDS and show that speech produced under this algorithm conforms to the feature targets, satisfying the properties of entrainment behavior observed in human-human conversations. We present results of an extrinsic evaluation of this method, comparing whether subjects are more likely to ask advice from a conversational avatar that entrains vs. one that does not, in English, Spanish and Slovak SDS. Copyright © 2016 ISCA.
format	CONF
author	Levitan, R. Beňuš, Š. Gálvez, R.H. Gravano, A. Savoretti, F. Trnka, M. Weise, A. Hirschberg, J. Morgan N. Georgiou P. Morgan N. Narayanan S. Metze F. Amazon Alexa; Apple; eBay; et al.; Google; Microsoft
author_facet	Levitan, R. Beňuš, Š. Gálvez, R.H. Gravano, A. Savoretti, F. Trnka, M. Weise, A. Hirschberg, J. Morgan N. Georgiou P. Morgan N. Narayanan S. Metze F. Amazon Alexa; Apple; eBay; et al.; Google; Microsoft
author_sort	Levitan, R.
title	Implementing acoustic-prosodic entrainment in a conversational avatar
title_short	Implementing acoustic-prosodic entrainment in a conversational avatar
title_full	Implementing acoustic-prosodic entrainment in a conversational avatar
title_fullStr	Implementing acoustic-prosodic entrainment in a conversational avatar
title_full_unstemmed	Implementing acoustic-prosodic entrainment in a conversational avatar
title_sort	implementing acoustic-prosodic entrainment in a conversational avatar
url	http://hdl.handle.net/20.500.12110/paper_2308457X_v08-12-September-2016_n_p1166_Levitan
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Implementing acoustic-prosodic entrainment in a conversational avatar

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