Abstract
In this paper, we focus on the syntactical aspects of music representation. We look at a music score as a structured layout of events with intrinsic temporal significance and we show that important basic relations between these events can be inferred from the topology of symbol objects in a music score. Within this framework, we propose a scheduling algorithm to find consistent assignments of events to voices, in the presence of uncertain information. Based on some experimental results, we show how we may use this approach to improve the accuracy of an Optical Music Recognition system.
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© 1998 Springer-Verlag Berlin Heidelberg
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Ferrand, M., Cardoso, A. (1998). Scheduling to Reduce Uncertainty in Syntactical Music Structures. In: de Oliveira, F.M. (eds) Advances in Artificial Intelligence. SBIA 1998. Lecture Notes in Computer Science(), vol 1515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10692710_26
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DOI: https://doi.org/10.1007/10692710_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65190-1
Online ISBN: 978-3-540-49523-9
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