A Comparative Study on Polyphonic Musical Time Series Using MCMC Methods

  • Katrin Sommer
  • Claus Weihs
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


A general harmonic model for pitch tracking of polyphonic musical time series will be introduced. Based on a model of Davy and Godsill (2002) the fundamental frequencies of polyphonic sound are estimated simultaneously. For an improvement of these results a preprocessing step was be implemented to build an extended polyphonic model.

All methods are applied on real audio data from the McGill University Master Samples (Opolko and Wapnick (1987)).


Fundamental Frequency Audio Signal MCMC Method MCMC Algorithm Correct Note 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Katrin Sommer
    • 1
  • Claus Weihs
    • 1
  1. 1.Lehrstuhl für Computergestützte StatistikUniversität DortmundDortmundGermany

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