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Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Big data optical music recognition with multi images and multi recognisers
AU - Ng, Kia
AU - McLean, Alex
AU - Marsden, Alan
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
U2 - 10.14236/ewic/EVA2014.50
DO - 10.14236/ewic/EVA2014.50
M3 - Conference contribution/Paper
SN - 9781780172859
T3 - Electronic Workshops in Computing
SP - 215
EP - 218
BT - Electronic Visualisation and the Arts (EVA 2014)
PB - BCS
T2 - Electronic Visualisation and the Arts
Y2 - 8 July 2014 through 10 July 2014
ER -