Artificial Intelligence and Music Ecosystem

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Artificial Intelligence and Music Ecosystem, Science Press, 9780367405779

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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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