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Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition

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Long-term musical structures provide information concerning rhythm, melody and the composition. Although highly musically relevant, these structures are difficult to determine using standard signal processing techniques. In this paper, a new technique based on the time-domain empirical mode decomposition is explained. It enables us to analyse the long-term metrical structures in musical signals and provides insight into perceived rhythms and their relationship to the signal. Besides, it decomposes a given signal into its constituent oscillations that can be modified to produce a new version of the signal. The technique is explained, and results are reported and discussed.

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