Decision-Level Fusion for Audio-Visual Laughter Detection

Reuderink, Boris and Poel, Mannes and Truong, Khiet and Poppe, Ronald and Pantic, Maja (2008) Decision-Level Fusion for Audio-Visual Laughter Detection. In: 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, September 8-10, 2008, Utrecht, The Netherlands.

PDF
Restricted to UT campus only: Request a copy
341Kb

Abstract:	Laughter is a highly variable signal, which can be caused by a spectrum of emotions. This makes the automatic detection of laugh- ter a challenging, but interesting task. We perform automatic laughter detection using audio-visual data from the AMI Meeting Corpus. Audio- visual laughter detection is performed by fusing the results of separate audio and video classifiers on the decision level. This results in laughter detection with a significantly higher AUC-ROC than single-modality classification.
Item Type:	Conference or Workshop Item
Copyright:	© 2008 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/62452
Official URL:	http://dx.doi.org/10.1007/978-3-540-85853-9_13
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page

Metis ID: 256121