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Handbook of Artificial Intelligence for Music

Foundations, Advanced Approaches, and Developments for Creativity

  • Book
  • © 2021

Overview

Editors:
  1. Eduardo Reck Miranda

    1. Interdisciplinary Centre for Computer Music Research (ICCMR), University of Plymouth, Plymouth, UK

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  • The definitive work on AI and music computing, featuring insights from leading experts in the field
  • Highlights how AI is much more than just deep learning, showcasing a range of different approaches and developments
  • Introduces new and emerging topics in AI, including biocomputing and quantum computing

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Table of contents (34 chapters)

  1. Front Matter

    Pages i-xxx
    Download chapter PDF

  2. Sociocultural and Design Perspectives on AI-Based Music Production: Why Do We Make Music and What Changes if AI Makes It for Us?

    • Oliver Bown
    Pages 1-20

  3. Human–Machine Simultaneity in the Compositional Process

    • Hanns Holger Rutz
    Pages 21-51

  4. Artificial Intelligence for Music Composition

    • Artemi-Maria Gioti
    Pages 53-73

  5. Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry

    • Baptiste Caramiaux, Marco Donnarumma
    Pages 75-95

  6. Neuroscience of Musical Improvisation

    • Psyche Loui
    Pages 97-115

  7. Discovering the Neuroanatomical Correlates of Music with Machine Learning

    • Tatsuya Daikoku
    Pages 117-161

  8. Music, Artificial Intelligence and Neuroscience

    • David Cope
    Pages 163-194

  9. Creative Music Neurotechnology

    • Eduardo Reck Miranda
    Pages 195-236

  10. On Making Music with Heartbeats

    • Elaine Chew
    Pages 237-261

  11. Cognitive Musicology and Artificial Intelligence: Harmonic Analysis, Learning, and Generation

    • Emilios Cambouropoulos, Maximos Kaliakatsos-Papakostas
    Pages 263-281

  12. On Modelling Harmony with Constraint Programming for Algorithmic Composition Including a Model of Schoenberg’s Theory of Harmony

    • Torsten Anders
    Pages 283-326

  13. Constraint-Solving Systems in Music Creation

    • Örjan Sandred
    Pages 327-344

  14. AI Music Mixing Systems

    • David Moffat
    Pages 345-375

  15. Machine Improvisation in Music: Information-Theoretical Approach

    • Shlomo Dubnov
    Pages 377-408

  16. Structure, Abstraction and Reference in Artificial Musical Intelligence

    • Geraint A. Wiggins
    Pages 409-422

  17. Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music

    • Bob L. T. Sturm, Oded Ben-Tal
    Pages 423-454

  18. Automatic Music Composition with Evolutionary Algorithms: Digging into the Roots of Biological Creativity

    • Francisco Vico, David Albarracin-Molina, Gustavo Diaz-Jerez, Luca Manzoni
    Pages 455-483

  19. Assisted Music Creation with Flow Machines: Towards New Categories of New

    • François Pachet, Pierre Roy, Benoit Carré
    Pages 485-520

  20. Performance Creativity in Computer Systems for Expressive Performance of Music

    • Alexis Kirke, Eduardo Reck Miranda
    Pages 521-584
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Keywords

About this book

This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing.


Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application:  AI for creating the actual musical content.

Editors and Affiliations

  • Interdisciplinary Centre for Computer Music Research (ICCMR), University of Plymouth, Plymouth, UK

    Eduardo Reck Miranda

About the editor

Prof. Eduardo Reck Miranda is a composer and Professor in Computer Music at the University of Plymouth, UK, where he is Director of the Interdisciplinary Centre for Computer Music Research (ICCMR). His previous publications include the Springer titles Guide to Unconventional Computing for Music, Guide to Brain-Computer Music Interfacing and Guide to Computing for Expressive Music Performance.

Bibliographic Information

  • Book Title: Handbook of Artificial Intelligence for Music

  • Book Subtitle: Foundations, Advanced Approaches, and Developments for Creativity

  • Editors: Eduardo Reck Miranda

  • DOI: https://doi.org/10.1007/978-3-030-72116-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-72115-2Published: 03 July 2021

  • Softcover ISBN: 978-3-030-72118-3Published: 03 July 2022

  • eBook ISBN: 978-3-030-72116-9Published: 02 July 2021

  • Edition Number: 1

  • Number of Pages: XXX, 994

  • Number of Illustrations: 223 b/w illustrations, 107 illustrations in colour

  • Topics: Artificial Intelligence, Music, Computer Appl. in Arts and Humanities

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