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Constrained Markov Sequence Generation|François Pachet

Constrained Markov Sequence Generation : Applications to Music and Text

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Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9783319434964
  • ISBN-10: 3319434969
  • Publisher: Springer
  • Publish Date: August 2021

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