Our research on Machine Learning and Case-Based Reasoning systems has been applied to model different creative musical processes:

  • We are currently focused on understanding the expressive resources used by guitar players. We are interested in analyzing and modeling the use of these expressive resources considering the musical structure of a piece, its musical genre, and the personal traits of the players. Visit our website GuitarLab for a more detailed explanation of our project.
  • We have studied the musical expressivity on professional violin performers
  • The PhD research of Claudio Baccigalupo is devoted on the desing of a Social Web Radio.
  • The projects TABASCO and CBR-ProMusic have
    studied the issue of expressiveness in computer generated music.

Visit our Machine Learning for Music web page.