Abstract
In this paper we present an enhancement of edit distance based music performance annotation. The annotation captures musical expressivity not only in terms of timing deviations but also represents e.g. spontaneous note ornamentation. To reduce the number of errors in automatic performance annotation, some optimization is essential. We have taken an evolutionary approach to optimize the parameter values of cost functions of the edit distance. Automatic optimization is desirable since manual parameter tuning is unfeasible when more than a few performances are taken into account. The validity of the optimized parameter settings is shown by assessing their error-percentage on a test set.
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Grachten, M., Arcos, J.L., López de Mántaras, R. (2005). Evolutionary Optimization of Music Performance Annotation. In: Wiil, U.K. (eds) Computer Music Modeling and Retrieval. CMMR 2004. Lecture Notes in Computer Science, vol 3310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31807-1_25
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DOI: https://doi.org/10.1007/978-3-540-31807-1_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24458-5
Online ISBN: 978-3-540-31807-1
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