@inproceedings{urbain-etal-2010-avlaughtercycle,
title = "The {AVL}aughter{C}ycle Database",
author = {Urbain, J{\'e}r{\^o}me and
Bevacqua, Elisabetta and
Dutoit, Thierry and
Moinet, Alexis and
Niewiadomski, Radoslaw and
Pelachaud, Catherine and
Picart, Benjamin and
Tilmanne, Jo{\"e}lle and
Wagner, Johannes},
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/289_Paper.pdf",
abstract = "This paper presents the large audiovisual laughter database recorded as part of the AVLaughterCycle project held during the eNTERFACE09 Workshop in Genova. 24 subjects participated. The freely available database includes audio signal and video recordings as well as facial motion tracking, thanks to markers placed on the subjects face. Annotations of the recordings, focusing on laughter description, are also provided and exhibited in this paper. In total, the corpus contains more than 1000 spontaneous laughs and 27 acted laughs. The laughter utterances are highly variable: the laughter duration ranges from 250ms to 82s and the sounds cover voiced vowels, breath-like expirations, hum-, hiccup- or grunt-like sounds, etc. However, as the subjects had no one to interact with, the database contains very few speech-laughs. Acted laughs tend to be longer than spontaneous ones and are more often composed of voiced vowels. The database can be useful for automatic laughter processing or cognitive science works. For the AVLaughterCycle project, it has served to animate a laughing virtual agent with an output laugh linked to the conversational partners input laugh.",
}
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<abstract>This paper presents the large audiovisual laughter database recorded as part of the AVLaughterCycle project held during the eNTERFACE09 Workshop in Genova. 24 subjects participated. The freely available database includes audio signal and video recordings as well as facial motion tracking, thanks to markers placed on the subjects face. Annotations of the recordings, focusing on laughter description, are also provided and exhibited in this paper. In total, the corpus contains more than 1000 spontaneous laughs and 27 acted laughs. The laughter utterances are highly variable: the laughter duration ranges from 250ms to 82s and the sounds cover voiced vowels, breath-like expirations, hum-, hiccup- or grunt-like sounds, etc. However, as the subjects had no one to interact with, the database contains very few speech-laughs. Acted laughs tend to be longer than spontaneous ones and are more often composed of voiced vowels. The database can be useful for automatic laughter processing or cognitive science works. For the AVLaughterCycle project, it has served to animate a laughing virtual agent with an output laugh linked to the conversational partners input laugh.</abstract>
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%0 Conference Proceedings
%T The AVLaughterCycle Database
%A Urbain, Jérôme
%A Bevacqua, Elisabetta
%A Dutoit, Thierry
%A Moinet, Alexis
%A Niewiadomski, Radoslaw
%A Pelachaud, Catherine
%A Picart, Benjamin
%A Tilmanne, Joëlle
%A Wagner, Johannes
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 may
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F urbain-etal-2010-avlaughtercycle
%X This paper presents the large audiovisual laughter database recorded as part of the AVLaughterCycle project held during the eNTERFACE09 Workshop in Genova. 24 subjects participated. The freely available database includes audio signal and video recordings as well as facial motion tracking, thanks to markers placed on the subjects face. Annotations of the recordings, focusing on laughter description, are also provided and exhibited in this paper. In total, the corpus contains more than 1000 spontaneous laughs and 27 acted laughs. The laughter utterances are highly variable: the laughter duration ranges from 250ms to 82s and the sounds cover voiced vowels, breath-like expirations, hum-, hiccup- or grunt-like sounds, etc. However, as the subjects had no one to interact with, the database contains very few speech-laughs. Acted laughs tend to be longer than spontaneous ones and are more often composed of voiced vowels. The database can be useful for automatic laughter processing or cognitive science works. For the AVLaughterCycle project, it has served to animate a laughing virtual agent with an output laugh linked to the conversational partners input laugh.
%U http://www.lrec-conf.org/proceedings/lrec2010/pdf/289_Paper.pdf
Markdown (Informal)
[The AVLaughterCycle Database](http://www.lrec-conf.org/proceedings/lrec2010/pdf/289_Paper.pdf) (Urbain et al., LREC 2010)
ACL
- Jérôme Urbain, Elisabetta Bevacqua, Thierry Dutoit, Alexis Moinet, Radoslaw Niewiadomski, Catherine Pelachaud, Benjamin Picart, Joëlle Tilmanne, and Johannes Wagner. 2010. The AVLaughterCycle Database. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).