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 (pp. pp. 137-148).

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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
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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