Symbol classification approach for OMR of square notation manuscripts

Carolina Ramirez, Jun Ohya

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

5 Citations (Scopus)

Abstract

Researchers in the field of OMR (Optical Music Recognition) have acknowledged that the automatic transcription of medieval musical manuscripts is still an open problem [2, 3], mainly due to lack of standards in notation and the physical quality of the documents. Nonetheless, the amount of medieval musical manuscripts is so vast that the consensus seems to be that OMR can be a vital tool to help in the preserving and sharing of this information in digital format. In this paper we report our results on a preliminary approach to OMR of medieval plainchant manuscripts in square notation, at the symbol classification level, which produced good results in the recognition of eight basic symbols. Our preliminary approach consists of the preprocessing, segmentation, and classification stages.

Original languageEnglish
Title of host publicationProceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010
Pages549-553
Number of pages5
Publication statusPublished - 2010 Dec 1
Event11th International Society for Music Information Retrieval Conference, ISMIR 2010 - Utrecht, Netherlands
Duration: 2010 Aug 92010 Aug 13

Publication series

NameProceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010

Conference

Conference11th International Society for Music Information Retrieval Conference, ISMIR 2010
CountryNetherlands
CityUtrecht
Period10/8/910/8/13

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ASJC Scopus subject areas

  • Music
  • Information Systems

Cite this

Ramirez, C., & Ohya, J. (2010). Symbol classification approach for OMR of square notation manuscripts. In Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010 (pp. 549-553). (Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010).