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Artificial Intelligence and ­Music Ecosystem
By Martin Clancy (Edited by)

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Format
Paperback, 184 pages
Other Formats Available

Hardback : £88.06

Published
United Kingdom, 1 September 2022


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

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Product Description


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

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Product Details
EAN
9780367405779
ISBN
0367405776
Publisher
Other Information
Illustrated
Dimensions
23.3 x 15.6 x 1.1 centimeters (0.31 kg)

Table of Contents

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

About the Author

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.

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