Artificial Intelligence and Music Ecosystem (eBook, PDF)

Redaktion: Clancy, Martin

• Format: PDF

Produktbeschreibung

Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 196
• Erscheinungstermin: 22. September 2022
• Englisch
• ISBN-13: 9781000688597
• Artikelnr.: 64715461

Autorenporträt

Martin Clancy is a Research Fellow at Trinity College Dublin, Founder Chair for the IEEE Global AI Ethics Arts Committee & a Certified Ableton 11 Live Trainer.

Inhaltsangabe

List of contributors Acknowledgements Introduction Chapter 1 The Future
Interview with Jacques Attali Chapter 2 AI music
On the Meaning of Music: Music is a language without a dictionary
David Cope Chapter 3 The Developer
What do music software developers do?
Miller Puckette Chapter 4 The Student
Shortcuts Guide To Music Theory
Artur Osipov Chapter 5 The Artist
Interview with Holly Herndon Chapter 6 Robotics
Fast and Curious: A CNN for Ethical Deep Learning Musical Generation
Richard Savery & Gil Weinberg Chapter 7 Extended Reality
Music in Immersive XR Environments:The Possibilities (and Approaches) for (AI)
Gareth W. Young & Aljosa Smolic Chapter 8 Data
A Quantified Quickening: Data, AI and the Consumption and Composition of Music
Jennifer Edmond Chapter 9 Law
You Can Call Me Hal: AI & Music IP
Martin Clancy Chapter 10 Ethics
Whose Ethics? Approaches to a Equitable and Sustainable Music Ecosystem
Martin Clancy Chapter 11 Global Ethics
From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia
Rujing Stacy Huang, Andre Holzapfel & Bob L. T. Sturm Chapter 12 Start
ups
AI: Why I Care
Mick Kiely Chapter 13 Music Industry
Interview with Scott Cohen Chapter 14 Philosophy
Amor Fati: A Theoretical Model of the Music Ecosystem
Martin Clancy Index