@inproceedings{3ccbecda68174b22a75deb125c931dda,
title = "Decision-Level Fusion for Audio-Visual Laughter Detection",
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.",
keywords = "EWI-13404, IR-62452, METIS-256121, HMI-CI: Computational Intelligence",
author = "B. Reuderink and Mannes Poel and Truong, {Khiet Phuong} and Poppe, {Ronald Walter} and Maja Pantic",
year = "2008",
month = sep,
doi = "10.1007/978-3-540-85853-9_13",
language = "Undefined",
isbn = "978-3-540-85852-2",
series = "Lecture Notes on Computer Science",
publisher = "Springer",
pages = "137--148",
editor = "Andrei Popescu-Belis and Rainer Stiefelhagen",
booktitle = "5th International Workshop, MLMI 2008",
address = "Germany",
note = "5th International Workshop on Machine Learning and Multimodal Interaction, MLMI 2008 ; Conference date: 08-09-2008 Through 10-09-2008",
}