Colorscore: Visualization and Condensation of Structure of Classical Music

  • Aki Hayashi
  • Takayuki ItohEmail author
  • Masaki Matsubara


It is not always easy to quickly understand musical structure of orchestral scores for classical music works, because these works contain many staves of instruments. This chapter presents Colorscore, a technique for visualization and condensation of musical scores. Colorscore supports two requirements for composers, arrangers, and players: overview and arrangement. Colorscore divides each track of the score into note-blocks and determines their roles. Colorscore then displays all the note-blocks in one display space to provide the overview, so that novice people can quickly understand the musical structures. In addition, Colorscore supports vertical condensation which reduces the number of displayed tracks and horizontal condensation which saves the display space. It is especially useful as hints to rearrange music for smaller bands.


Accompaniment Pattern Visualization Result Musical Score Musical Work Musical Structure 
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.


  1. 1.
    Foote, J.: Visualizing music and audio using self-similarity. In: 7th ACM International Conference on Multimedia, pp. 77–80 (1999)Google Scholar
  2. 2.
    Goto, M.: SmartMusicKIOSK: music listening station with chorus-search function. In: 16th Annual ACM Symposium on User Interface Software and Technology, pp. 31–40. ACM, USA (2003)Google Scholar
  3. 3.
    Sapp, C.S.: Harmonic visualizations of tonal music. In: Proccedings of the International Computer Music Conference (ICMC), pp. 423–430. Havana (2001)Google Scholar
  4. 4.
    Wattenberg, M.: Arc diagrams: visualizing structure in strings. In: Proccedings of the IEEE Symposium on Information Visualization, pp. 110–116. Boston (2002)Google Scholar
  5. 5.
    Miyazaki, R., Fujishiro, I., Hiraga, R.: Comp-i: a system for visual exploration of MIDI datasets. In: International Computer Music Conference (ICMC). MPublishing, Ann Arbor (2004)Google Scholar
  6. 6.
    Matsubara, M., Okamoto, H., Sano, T., Susuki, H., Nobesawa, S., Saito, H.: Scoreillumi-nator: automatic illumination of orchestra scores for readability improvement. International Computer Music Conference (ICMC) (2009)Google Scholar
  7. 7.
    Hiraga, R., Watanabe, F., Fujishiro, I.: Music learning through visualization. In: Second International Conference on WEB Delivering of Music (WEDELMUSIC’02), 101–108 (2002)Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Information Sciences DepartmentOchanomizu UniversityTokyoJapan
  2. 2.Keio UniversityKanagawaJapan

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