Classification of acoustic events using SVM-based clustering schemes
Pattern Recognition
CLEAR evaluation of acoustic event detection and classification systems
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Inclusion of Video Information for Detection of Acoustic Events Using the Fuzzy Integral
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
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In this paper, the Acoustic Event Detection (AED) system developed at the UPC is described, and its results in the CLEAR evaluations carried out in March 2007 are reported. The system uses a set of features composed of frequency-filtered band energies and perceptual features, and it is based on SVM classifiers and multi-microphone decision fusion. Also, the current evaluation setup and, in particular, the two new metrics used in this evaluation are presented.