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Constrained Markov Sequence Generation

Applications to Music and Text
Buch | Hardcover
2099 | 1st ed. 2100
Springer International Publishing (Verlag)
978-3-319-43496-4 (ISBN)
60,98 inkl. MwSt
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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.

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/ f Spectrum Sequences.- Regular Constraints.- Binary Equality Constraints.- Palindromes and N -Grams.- Part II - Applications and Examples.- Generating Lyrics.- Harmonization Using Unary Constraints.- Generation of Lead Sheets.- Conclusions.- Glossary.- Index.- References.

Erscheint lt. Verlag 9.12.2099
Zusatzinfo Approx. 250 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Algorithmic Composition • Allen relations • artificial intelligence (incl. robotics) • belief propagation • Chord generation • Computer Appl. in Arts and Humanities • Computer Science • Constraint satisfaction problem (CSP) • Content generation • Domain consistency (DC) • Elementary Markov constraint (EMC) • Interactive composition • markov chains • markov constraints • Mathematics in Music • Mathematics of Computing • Max order • Melody generation • music • N-grams • Palindromes • plagiarism • Probability theory and stochastic processes • Random walk (RW) • Variable-order Markov model (VMM) • Virtuoso melodies
ISBN-10 3-319-43496-9 / 3319434969
ISBN-13 978-3-319-43496-4 / 9783319434964
Zustand Neuware
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