Constrained Markov Sequence Generation Applications to Music and Text

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Constrained Markov Sequence Generation

Applications to Music and Text

François Pachet | Alexandre Papadopoulos | Pierre Roy

Computers / Artificial Intelligence / General

Deals with the problem of generating sequences in the style of a given corpus, in text or music

Overcomes limitation of Markov models, they capture only local information, by formulating them as constraint satisfaction problems (CSPs)

Valuable for practitioners, researchers, and graduate students engaged with algorithmic composition and constraint satisfaction


Publication Date: 09 October 2035
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783319434964
Format: Hardback

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