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  • EVA2014

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Big data optical music recognition with multi images and multi recognisers

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Publication date2014
Host publicationElectronic Visualisation and the Arts (EVA 2014)
PublisherBCS
Pages215-218
Number of pages4
ISBN (Print)9781780172859
<mark>Original language</mark>English
EventElectronic Visualisation and the Arts - London, United Kingdom
Duration: 8/07/201410/07/2014

Conference

ConferenceElectronic Visualisation and the Arts
Country/TerritoryUnited Kingdom
CityLondon
Period8/07/1410/07/14

Publication series

NameElectronic Workshops in Computing

Conference

ConferenceElectronic Visualisation and the Arts
Country/TerritoryUnited Kingdom
CityLondon
Period8/07/1410/07/14

Abstract

In this paper we describe work in progress towards Multi-OMR, an approach to Optical Music Recognition (OMR) which aims to significantly improve the accuracy of musical score digitisation. There are a large number of scores available in public databases, as well as a range of different commercial and open source OMR tools. Using these resources, we are exploring a Big Data approach to harnessing datasets by aligning and combining the results of multiple versions of the same score, processed with multiple technologies. It is anticipated that this approach will yield high quality results, opening up large datasets to researchers in the field of digital musicology.