Environment sound recognition using zero crossing features and MPEG-7

In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The performance is evaluated against varying number of training sounds and samples per each training file. Experimental results show that higher recognition accuracy is achieved by increasing the number of training files and by decreasing the number of samples per training file.