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Software in Music Information Retrieval

  • Claus Weihs
  • Klaus Friedrichs
  • Markus Eichhoff
  • Igor Vatolkin
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Music Information Retrieval (MIR) software is often applied for the identification of rules classifying audio music pieces into certain categories, like e.g. genres. In this paper we compare the abilities of six MIR software packages in ten categories, namely operating systems, user interface, music data input, feature generation, feature formats, transformations and features, data analysis methods, visualization methods, evaluation methods, and further development. The overall rankings are derived from the estimated scores for the analyzed criteria.

Keywords

Linear Discriminant Analysis Audio Signal Independent Component Analysis Music Piece Music Information Retrieval 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Claus Weihs
    • 1
  • Klaus Friedrichs
    • 1
  • Markus Eichhoff
    • 1
  • Igor Vatolkin
    • 2
  1. 1.Department of StatisticsTU Dortmund UniversityDortmundGermany
  2. 2.Department of Computer ScienceTU Dortmund UniversityDortmundGermany

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