@inproceedings{grachten.ea2004-melodic,
  abstract      = {Computing melodic similarity is a very general
                  problem with diverse musical applications ranging
                  from music analysis to content-based
                  retrieval. Choosing the appropriate level of
                  representation is a crucial issue and depends on the
                  type of application. Our research interest concerns
                  the development of a CBR system for expressive music
                  processing. In that context, a well chosen distance
                  measure for melodies is a crucial issue. In this
                  paper we propose a new melodic similarity measure
                  based on the I/R model for melodic structure and
                  compare it with other existing measures. The
                  experimentation shows that the proposed measure
                  provides a good compromise between discriminatory
                  power and ability to recognize phrases from the same
                  song.},
  author        = {Grachten, Maarten and Arcos, Josep Lluis and
                  M{\'{a}}ntaras, Ramon L{\'{o}}pez De},
  booktitle     = {Proceedings of the 5th International Society for
                  Music Information Retrieval},
  isbn          = {84-88042-44-2},
  keywords      = {music similarity},
  mendeley-tags = {music similarity},
  title         = {{Melodic Similarity: Looking for a Good Abstraction
                  Level}},
  year          = 2004
}