Artificial Intelligence and Music Ecosystem

Artificial Intelligence and Music Ecosystem

Clancy, Martin

Taylor & Francis Ltd

09/2022

184

Mole

Inglês

9780367405779

15 a 20 dias

362

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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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AI;audio;computer engineering;music;creative;creative arts;Music Ecosystem;Midi;Ceo;Beethoven;AI Technology;Music Copyright;Computational Creativity;Violate;Ai Developer;Unsupervised Machine Learning;Mozart;Follow;AI System;UN;Midi Data;Black Box;Chief Innovation Officer;Software System;Software;TTS;Ai Tool;Music Industry;Wo;Held;USA