Summary of the paper
| Title | Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus |
|---|---|
| Authors | Jörg Frommer, Bernd Michaelis, Dietmar Rösner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning and 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. |
| Topics | Corpus (creation, annotation, etc.), Emotion Recognition/Generation, Speech resource/database |
Full paper  |
Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus |
| Bibtex | @InProceedings{FROMMER12.782, author = {Jörg Frommer and Bernd Michaelis and Dietmar Rösner and Andreas Wendemuth and Rafael Friesen and Matthias Haase and Manuela Kunze and Rico Andrich and Julia Lange and Axel Panning and Ingo Siegert}, title = {Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |