Mining Scalar Representations in a Non-tagged Music Database

  • Rory A. Lewis
  • Wenxin Jiang
  • Zbigniew W. Raś
Conference paper

DOI: 10.1007/978-3-540-68123-6_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4994)
Cite this paper as:
Lewis R.A., Jiang W., Raś Z.W. (2008) Mining Scalar Representations in a Non-tagged Music Database. In: An A., Matwin S., Raś Z.W., Ślęzak D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science, vol 4994. Springer, Berlin, Heidelberg

Abstract

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.

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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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