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Improving OMR for digital music libraries with multiple recognisers and multiple sources

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Publication date2014
Host publicationDLfM '14 Proceedings of the 1st International Workshop on Digital Libraries for Musicology
Place of PublicationNew York
PublisherACM
Pages1-8
Number of pages8
ISBN (print)9781450330022
<mark>Original language</mark>English
Event1st International Digital Libraries for Musicology workshop - London, United Kingdom
Duration: 12/09/2014 → …

Conference

Conference1st International Digital Libraries for Musicology workshop
Country/TerritoryUnited Kingdom
CityLondon
Period12/09/14 → …

Conference

Conference1st International Digital Libraries for Musicology workshop
Country/TerritoryUnited Kingdom
CityLondon
Period12/09/14 → …

Abstract

Large quantities of scanned music are now available in public digital music libraries. However, the information in such sources is represented as pixel data in images rather than symbolic information about the notes of a piece of music, and therefore it is opaque to musically meaningful computational processes (e.g., to search for a particular melodic pattern). Optical Music Recognition (Optical Character Recognition for music) holds out the prospect of a solution to this issue and allowing access to very large quantities of musical information in digital libraries. Despite the efforts made by the different commercial OMR developers to improve the accuracy of their systems, mistakes in the output are currently too frequent to make OMR a practical tool for bulk processing.