Analysis and recognition of music scores

Research output: Chapter in BookChapterResearchpeer-review

11 Citations (Scopus)

Abstract

© Springer-Verlag London 2014. All rights are reserved. The analysis and recognition of music scores has attracted the interest of researchers for decades. Optical Music Recognition (OMR) is a classical research field of Document Image Analysis and Recognition (DIAR), whose aim is to extract information from music scores. Music scores contain both graphical and textual information, and for this reason, techniques are closely related to graphics recognition and text recognition. Since music scores use a particular diagrammatic notation that follow the rules of music theory, many approaches make use of context information to guide the recognition and solve ambiguities. This chapter overviews the main Optical Music Recognition (OMR) approaches. Firstly, the different methods are grouped according to the OMR stages, namely, staff removal, music symbol recognition, and syntactical analysis. Secondly, specific approaches for old and handwritten music scores are reviewed. Finally, online approaches and commercial systems are also commented.
Original languageEnglish
Title of host publicationHandbook of Document Image Processing and Recognition
Pages749-774
Number of pages25
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Graphics recognition
  • Optical music recognition
  • Staff removal
  • Symbolrecognition

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