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 December 2035 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Springer |
| ISBN-13: | 9783319434964 |
| Format: | Hardback |