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Lecture Notes in Computer Science
In this paper we propose a novel time-space ensemble-based approach for the task of automatic music genre classification. Ensemble strategies employ several classifiers to different views of the problemspace, and combination rules in order to produce the final classification decision. In our approach we employ audio signal segmentation in time intervals and also problem space decomposition. Initially the music signal is split in time segments; features are extracted from these music signaldoi:10.1007/11874850_38 fatcat:vx6rl2akcbap3ixq67xamd5moe