AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis

Kevin El Haddad, Hüseyin Çakmak, Stéphane Dupont, Thierry Dutoit


Abstract
It has been shown that adding expressivity and emotional expressions to an agent’s communication systems would improve the interaction quality between this agent and a human user. In this paper we present a multimodal database of affect bursts, which are very short non-verbal expressions with facial, vocal, and gestural components that are highly synchronized and triggered by an identifiable event. This database contains motion capture and audio data of affect bursts representing disgust, startle and surprise recorded at three different levels of arousal each. This database is to be used for synthesis purposes in order to generate affect bursts of these emotions on a continuous arousal level scale.
Anthology ID:
L16-1345
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2175–2179
Language:
URL:
https://aclanthology.org/L16-1345
DOI:
Bibkey:
Cite (ACL):
Kevin El Haddad, Hüseyin Çakmak, Stéphane Dupont, and Thierry Dutoit. 2016. AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2175–2179, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis (Haddad et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1345.pdf