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Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segmentation. Yet, feature sets are largely discussed. We therefore suggest a large open feature set approach starting with systematical generation of 7k hi-level features based on MPEG-7 Low-Level-Descriptors and further feature contours. A subsequent fast Gain Ratio reduction followed by wrapper-based Floating Search leadsdoi:10.1109/icme.2006.262724 dblp:conf/icmcs/SchullerWAR06 fatcat:6nsphamuyncwdohuirfjtr4aeq