Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10527)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MCM 2017.
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Keywords
- developing variation
- discrete Fourier transform
- geometric approaches to music
- hierarchical structure in music
- Markov model
- microtonal
- music notation
- music representation
- musical patterns
- musical performance theory and analysis
- musical scales and tuning
- musical similarity and contrast
- operations research in music
- post-tonal music analysis
- time-span tree
- transformation spaces
- music information retrieval
- signal processing
- artificial intelligence
- machine learning
Table of contents (28 papers)
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Algebraic Models
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Computer Assisted Performance
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Fourier Analysis
Other volumes
-
Mathematics and Computation in Music
Editors and Affiliations
Bibliographic Information
Book Title: Mathematics and Computation in Music
Book Subtitle: 6th International Conference, MCM 2017, Mexico City, Mexico, June 26-29, 2017, Proceedings
Editors: Octavio A. Agustín-Aquino, Emilio Lluis-Puebla, Mariana Montiel
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-71827-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-71826-2Published: 18 November 2017
eBook ISBN: 978-3-319-71827-9Published: 17 November 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 373
Number of Illustrations: 147 b/w illustrations
Topics: Computer Appl. in Arts and Humanities, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science, Music