Mining Scalar Representations in a Non-tagged Music Database

  • Rory A. Lewis
  • Wenxin Jiang
  • Zbigniew W. Raś
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4994)


In the continuing investigation of the relationship between music and emotions it is recognized that MPEG-7 based MIR systems are the state-of-the-art. Also, it is known that non-temporal systems are diametrically unconducive to pitch analysis, an imperative for key and scalar analysis which determine emotions in music. Furthermore, even in a temporal MIR system one can only find the key if the scale is known or vice-versa, one can only find the scale if the key is known. We introduce a new MIRAI-based decision-support system that, given a blind database of music files, can successfully search for both the scale and the key of an unknown song in a music database and accordingly link each song to its set of scales and possible emotional states.


Fundamental Frequency Blind Source Separation Music Therapy Note Sequence Levenshtein Distance 
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

  • Rory A. Lewis
    • 1
  • Wenxin Jiang
    • 1
  • Zbigniew W. Raś
    • 1
  1. 1.Dept. of Comp. ScienceUniversity of North CarolinaCharlotteUSA

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