A system to convert digitized sheet music into a symbolic music representation is presented. A pragmatic approach is used that conceptualizes this primarily two-dimensional structural recognition problem as a one-dimensional one. The transparency of the implementation owes a great deal to its implementation in a dynamic, object-oriented language. This systemis a part of a locally developed end-to-end solution for the conversion of digitized sheet music into symbolic form.
CITATION STYLE
Droettboom, M., Fujinaga, I., & MacMillan, K. (2002). Optical music interpretation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2396, pp. 378–387). Springer Verlag. https://doi.org/10.1007/3-540-70659-3_39
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