Research on fast music classification based on SVM in compressed domain

In this paper we make a research on svm algorithm used for music genre classification in mp3 compressed domain and analyze parameters combination’s impact on music classification accuracy, number of support vectors and classification time. Based on the analysis, we propose a new method how to realize fast and effective music classification by svm in compressed domain. This method greatly improves the speed while the classification accuracy is guaranteed.