Constrained Markov Sequence Generation: Applications to Music and Text (Computational Synthesis and Creative Systems)
Brand: Springer
Categories: Books, Computers & Technology, Computer Science



Dimensions: 6.1 x 9.25 inches
Language: English
ISBN-10: 3319434969
Publisher: Springer
Publication date: December 9, 2099
ISBN-13: 978-3319434964
Edition: 1st ed. 2100
subtitle: 1st ed. 2100 Edition
author: Visit Amazon's François Pachet Page search results François Pachet Alexandre Papadopoulos Pierre Roy
review: Editorial Reviews From the Back Cover 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.