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From Local to Global Analysis of Music Time Series

  • Conference paper
Local Pattern Detection

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3539))

Abstract

Local and more and more global musical structure is analyzed from audio time series by time-series-event analysis with the aim of automatic sheet music production and comparison of singers. Note events are determined and classified based on local spectra, and rules of bar events are identified based on accentuation events related to local energy. In order to compare the performances of different singers global summary measures are defined characterizing the overall performance.

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© 2005 Springer-Verlag Berlin Heidelberg

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Weihs, C., Ligges, U. (2005). From Local to Global Analysis of Music Time Series. In: Morik, K., Boulicaut, JF., Siebes, A. (eds) Local Pattern Detection. Lecture Notes in Computer Science(), vol 3539. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504245_14

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  • DOI: https://doi.org/10.1007/11504245_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26543-6

  • Online ISBN: 978-3-540-31894-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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