Acoustic events detection with Support Vector Machines

This paper deals with detection and classification of acoustic events which could indicate potentially dangerous situation. The main objective of the paper is to determine the classification accuracy of gun shots taken in noisy environment. The detection and classification method is based on Support Vector Machines. The training and testing data are gunshots which were recorded in an open space and consequently degraded with background street noise.