Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus

Jörg Frommer, Bernd Michaelis, Dietmar Rösner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning, Ingo Siegert


Abstract
The LAST MINUTE corpus comprises multimodal recordings (e.g. video, audio, transcripts) from WOZ interactions in a mundane planning task (Rösner et al., 2011). It is one of the largest corpora with naturalistic data currently available. In this paper we report about first results from attempts to automatically and manually analyze the different modes with respect to emotions and affects exhibited by the subjects. We describe and discuss difficulties encountered due to the strong contrast between the naturalistic recordings and traditional databases with acted emotions.
Anthology ID:
L12-1460
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3064–3069
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/782_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Jörg Frommer, Bernd Michaelis, Dietmar Rösner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning, and Ingo Siegert. 2012. Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3064–3069, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus (Frommer et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/782_Paper.pdf