1. Decision-Level Fusion for Audio-Visual Laughter Detection
- Author
-
Reuderink, B., Poel, Mannes, Truong, Khiet Phuong, Poppe, Ronald Walter, Pantic, Maja, Popescu-Belis, Andrei, and Stiefelhagen, Rainer
- Subjects
Decision level ,HMI-CI: Computational Intelligence ,genetic structures ,Computer science ,media_common.quotation_subject ,Speech recognition ,Mixture model ,Robot learning ,Task (project management) ,Laughter ,EWI-13404 ,ComputingMethodologies_PATTERNRECOGNITION ,ComputerApplications_MISCELLANEOUS ,Audio visual ,IR-62452 ,media_common ,METIS-256121 - 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.
- Published
- 2008