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Automatic Detection of Cue Points for DJ Mixing

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Document pages: 7 pages

Abstract: The automatic identification of cue points is a central task in applicationsas diverse as music thumbnailing, mash-ups generation, and DJ mixing. Our focuslies in electronic dance music and in specific cue points, the "switch points ",that make it possible to automatically construct transitions among tracks,mimicking what professional DJs do. We present an approach for the detection ofswitch points that embody a few general rules we established from interviewswith professional DJs; the implementation of these rules is based on featuresextraction and novelty analysis. The quality of the generated switch points isassessed both by comparing them with a manually annotated dataset that wecurated, and by evaluating them individually. We found that about 96 of thepoints generated by our methodology are of good quality for use in a DJ mix.

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