Constrained Markov Sequence Generation: Applications To Music And Text by François PachetConstrained Markov Sequence Generation: Applications To Music And Text by François Pachet

Constrained Markov Sequence Generation: Applications To Music And Text

byFrançois Pachet, Alexandre Papadopoulos, Pierre Roy

Hardcover | February 11, 2019

Pricing and Purchase Info

$92.00 online 
$96.95 list price save 5%
Earn 460 plum® points

Prices and offers may vary in store

Quantity:

Pre-order online

Ships free on orders over $25

Not yet available in stores

about

This book deals with the problem of generating sequences in the style of a given corpus, in text or music. In particular, the authors study Markov models, which have long been used for capturing basic statistical information about how elements of a given alphabet are put together in representative sequences, formulating them as constraint satisfaction problems (CSPs), a formulation which opens the door to many extensions of basic Markov models through the modularity of constraint satisfaction.

The book will be valuable to practitioners, researchers, and graduate students engaged with algorithmic composition and constraint satisfaction.

Title:Constrained Markov Sequence Generation: Applications To Music And TextFormat:HardcoverPublished:February 11, 2019Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319434969

ISBN - 13:9783319434964

Look for similar items by category:

Reviews

Table of Contents

Introduction.- Part I - Results.- Markov Constraints: Steerable Generation of Variable-Order Markovian Sequences.- Unary Constraints.- Meter.- Meter with Allen Relations.- Max Order and Plagiarism.- 1/fSpectrum Sequences.- Regular Constraints.- Binary Equality Constraints.- Palindromes andN-Grams.- Part II - Applications and Examples.- Generating Lyrics.- Harmonization Using Unary Constraints.- Generation of Lead Sheets.- Conclusions.- Glossary.- Index.- References.