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The general goal of audio matching is to identify all audio extracts of a music collection that are similar to a given query snippet. Over the last years, several approaches to this task have been presented. However, due to the complexity of audio matching the proposed approaches usually either yield excellent matches but have a poor runtime or provide quick responses albeit calculate less satisfying retrieval results. In this paper, we present a novel procedure that combines the positivedoi:10.1145/2390848.2390850 dblp:conf/mm/ThomasEC12 fatcat:uacy2stq4fd6danzquajqlvbhi