Artificial Intelligence and Music Ecosystem
Herausgeber: Clancy, Martin
Artificial Intelligence and Music Ecosystem
Herausgeber: 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.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 184
- Erscheinungstermin: 22. September 2022
- Englisch
- Abmessung: 232mm x 152mm x 11mm
- Gewicht: 314g
- ISBN-13: 9780367405779
- ISBN-10: 0367405776
- Artikelnr.: 64104671
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 184
- Erscheinungstermin: 22. September 2022
- Englisch
- Abmessung: 232mm x 152mm x 11mm
- Gewicht: 314g
- ISBN-13: 9780367405779
- ISBN-10: 0367405776
- Artikelnr.: 64104671
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