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 |
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Rok vydání: | 2008 |
Předmět: |
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 |
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 |
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