Artificial Intelligence and Music Ecosystem (eBook, ePUB)
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Artificial Intelligence and Music Ecosystem (eBook, ePUB)
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
- Seitenzahl: 196
- Erscheinungstermin: 22. September 2022
- Englisch
- ISBN-13: 9781000688665
- Artikelnr.: 64715416
- Verlag: Taylor & Francis
- Seitenzahl: 196
- Erscheinungstermin: 22. September 2022
- Englisch
- ISBN-13: 9781000688665
- Artikelnr.: 64715416
- 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
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
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