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    Big Data Optical Music Recognition with Multi Images and Multi Recognisers

    Electronic Visualisation and the Arts (EVA 2014)

    London, UK, 8 - 10 July 2014

    AUTHORS

    Kia Ng, Alex McLean and Alan Marsden

    ABSTRACT

    http://dx.doi.org/10.14236/ewic/eva2014.26

    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.

    PAPER FORMATS

    PDF file PDF Version of this Paper 949(kb)

    EVA 2014: Electronic Visualisation and the Arts cover

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