Artificial Intelligence and Music Ecosystem (eBook, PDF)
Redaktion: Clancy, Martin
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Artificial Intelligence and Music Ecosystem (eBook, PDF)
Redaktion: Clancy, Martin
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Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts.
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Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 196
- Erscheinungstermin: 22. September 2022
- Englisch
- ISBN-13: 9781000688597
- Artikelnr.: 64715461
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 196
- Erscheinungstermin: 22. September 2022
- Englisch
- ISBN-13: 9781000688597
- Artikelnr.: 64715461
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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
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
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
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