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• W43410621 abstract "In this paper we present a system that learns rhythmic patterns from drum audio recording and synthesizes music variations from the learnt sequence. The procedure described is completely unsupervised and embodies the transcription of a percussion sequence into a fuzzy multilevel representation. Moreover, a tempo estimation procedure identifying the most regular subsequence is used to guarantee that the metrical structure is preserved in the generated sequence. The final synthesis is performed, recombining the audio material derived from the sample itself. Some examples of generations along with a descriptive evaluation are provided." @default.
• W43410621 created "2016-06-24" @default.
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• W43410621 date "2010-01-01" @default.
• W43410621 modified "2023-09-24" @default.
• W43410621 title "Unsupervised Generation of Percussion Sound Sequences from a Sound Example" @default.
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