SeeGroove: Supporting Groove Learning through Visualization

Issei Fujishiro, Naoki Haga, Masanori Nakayama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

"Groove" is a global feature of music performance that generalizes the surges, propulsive rhythmic feel, dynamics, and togetherness of sound to reflect overall rhythmic pleasure. Groove is vital to a good performance, though it is claimed that consierable experience is needed to be accumulated for the expression of groove at will. In this work, we propose a general visualization system, called See Groove, that allows performers to efficiently comprehend groove in various music genres. For each genre, the standard MIDI dataset was extracted from actual performances of professional players in advance. The system then takes the difference between an input data of performance and the standard of a chosen genre to quantify the degree of groove of the performance. To visualize the differences, the user is allowed to rely on any combination of two modes and two views of designated visualization in accordance with his/her preferences and target information.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Cyberworlds, CW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages189-192
Number of pages4
ISBN (Print)9781467394031
DOIs
Publication statusPublished - 2016 Feb 3
EventInternational Conference on Cyberworlds, CW 2015 - Visby, Sweden
Duration: 2015 Oct 72015 Oct 9

Other

OtherInternational Conference on Cyberworlds, CW 2015
CountrySweden
CityVisby
Period15/10/715/10/9

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Keywords

  • computer music
  • emotional visualization
  • MIDI
  • music visualization
  • performance support

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications
  • Artificial Intelligence

Cite this

Fujishiro, I., Haga, N., & Nakayama, M. (2016). SeeGroove: Supporting Groove Learning through Visualization. In Proceedings - 2015 International Conference on Cyberworlds, CW 2015 (pp. 189-192). [7398413] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CW.2015.65