Optimization of parameter settings for genetic algorithms in music segmentation
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
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Music segmentation is a key issue in music information retrieval (MIR) as it provides an insight into the structure of a composition. Based on structural information, several tasks related to MIR such as searching and browsing large music collections, visualizing musical structure, lyric alignment, and music summarization can be further improved.Various approaches are available to achieve an appropriate segmentation of a given composition. The authors of this paper present an approach to appliy genetic algorithms for a solution to the segmentation problem.