Music Information Retrieval

John Ashley Burgoyne, Ichiro Fujinaga, J. Stephen Downie

Research output: Chapter in Book/Report/Conference proceedingChapter


Music information retrieval (MIR) is "a multidisciplinary research endeavor that strives to develop innovative content-based searching schemes, novel interfaces, and evolving networked delivery mechanisms in an effort to make the world's vast store of music accessible to all." MIR was born from computational musicology in the 1960s and has since grown to have links with music cognition and audio engineering, a dedicated annual conference (ISMIR) and an annual evaluation campaign (MIREX). MIR combines machine learning with expert human knowledge to use digital music data - images of music scores, "symbolic" data such as MIDI files, audio, and metadata about musical items - for information retrieval, classification and estimation, or sequence labeling. This chapter gives a brief history of MIR, introduces classical MIR tasks from optical music recognition to music recommendation systems, and outlines some of the key questions and directions for future developments in MIR.

Original languageEnglish (US)
Title of host publicationA New Companion to Digital Humanities
Number of pages16
ISBN (Electronic)9781118680605
ISBN (Print)9781118680599
StatePublished - Nov 30 2015


  • Audio engineering
  • Classification
  • Computational musicology
  • Evaluation
  • Machine learning
  • Music cognition
  • Music information retrieval (MIR)
  • Sequence labeling

ASJC Scopus subject areas

  • General Arts and Humanities


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