Sound event classification with feature vector combination for automatic audio-based surveillance

Abstract

This paper deals with the sound event classification for automatic audio-based surveillance. To improve the performance, we proposed a feature vector combination scheme to use multiple feature vectors simultaneously. Then, the performance is evaluated by using the combination of three segment-based features. The result shows significant amount of improvement compare to the conventional method.