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• W2534856489 abstract "Artificial Evolution has shown great potential in the musical domain. One task in which Evolutionary techniques have shown special promise is the automatic music composition. This article describes the development of an algorithm for generating tonal melodies. The method employed does not entail any preset rule with respect to the musical grammar. It is based on a self-learning model that combines a Markov process, for the creation of concatenation rules of various sounds, with the Viterbi algorithm, for compliance with the musical syntax. The article is going to demonstrate the effectiveness of the method by means of some examples of its production and is going to indicate ways to improve the method." @default.
• W2534856489 created "2016-10-28" @default.
• W2534856489 creator A5036019332 @default.
• W2534856489 date "2016-10-20" @default.
• W2534856489 modified "2023-09-23" @default.
• W2534856489 title "A Learning Approach to Hierarchical Features for Automatic Music Composition" @default.
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• W2534856489 doi "https://doi.org/10.1007/978-3-319-48499-0_24" @default.
• W2534856489 hasPublicationYear "2016" @default.
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