Data-driven, memory-based computational models of human segmentation of musical melody
This study seeks the development of a system capable of performing melodic segmentation in an unsupervised way, by learning from non-annotated musical data. Probabilistic learning methods have been widely used to acquire regularities in large sets of data, with many successful applications in langua...
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University of Edinburgh
2006
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650869 |