Decision-Level Fusion for Audio-Visual Laughter Detection

Autor: Reuderink, B., Poel, Mannes, Truong, Khiet Phuong, Poppe, Ronald Walter, Pantic, Maja, Popescu-Belis, Andrei, Stiefelhagen, Rainer
Rok vydání: 2008
Předmět:
Zdroj: Machine Learning for Multimodal Interaction ISBN: 9783540858522
MLMI
5th International Workshop, MLMI 2008, 137-148
STARTPAGE=137;ENDPAGE=148;TITLE=5th International Workshop, MLMI 2008
ISSN: 0302-9743
Popis: 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.
Databáze: OpenAIRE