1st Edition

Musicians Coding AI for Themselves

Edited By Constantin Basica, Julie Zhu Copyright 2027
438 Pages 38 B/W Illustrations
by Routledge

438 Pages 38 B/W Illustrations
by Routledge

Musicians Coding AI for Themselves blends cutting edge academic research with the real-world experiences of musicians working the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems. The chapters are written by emerging and innovative... Read more

1.      Prelude Personal and Peculiar

                Julie Zhu and Constantin Basica

2.      Movement I Machine Learning at the Artist Scale

                Molly Jones

3.      Interlude I Interview with Laetitia Sonami

                Constantin Basica and Julie Zhu

4.      Movement II Notochord: Designing and Experiencing a Low Latency MIDI Language Model

                Victor Shepardson

5.      Interlude II Interview with George Lewis

                Constantin Basica and Julie Zhu

6.      Movement III Machine Grain of Musical AI Voices: Coding Extra Normal Values in Live Performance with AI Models

                Kelsey Cotton

7.      Interlude III Interview with Jennifer Walshe

                Constantin Basica and Julie Zhu

8.      Movement IV The Last Piece: Training AI on a Composer’s Brainwaves

                Constantin Basica, Prateek Verma, and Alexandru I. Berceanu

9.      Interlude IV Interview with Nao Tokui

                Julie Zhu and Constantin Basica

10. Intermission Ethics, Authorship, and Creativity in the Age of ChatGPT

                Charles Hiroshi Garrett

11. Interlude V Interview with Ge Wang

                Julie Zhu and Constantin Basica

12. Movement V Deep Drawing

                Julie Zhu and John Granzow

13. Interlude VI Interview with Pierre Alexandre Tremblay

                Julie Zhu and Constantin Basica

14. Movement VI The Neural Tape Loop

                Hugo Flores García

15. Interlude VII Interview with Holly Herndon

                Constantin Basica and Julie Zhu

16.        Movement VII Pandora’s Dream: Building a Software Framework for AI-Mediated Live Music Practice

                Celeste Betancur Gutiérrez

17.        Interlude VIII Interview with CJ Carr

                Julie Zhu

18. Movement VIII The Sweet Spot: Human–AI Alignment with Randomness, Complexity, and Machine Learning

                Ted Moore

19. Postlude Shifts in Creative Practice with Intelligent Machines

                Doga Cavdir

20. Encore A Collection of Claims on AI Arts Practice

                Alexander Schubert

Biography

Constantin Basica, DMA, is a Romanian composer whose work focuses on symbiotic interrelations between music, video, and performers. His music has been presented internationally by distinguished artists at events such as MATA Festival, Ars Electronica Festival (Bucharest Garden), World New Music Days, George Enescu Festival, and the International Computer Music Conference. He earned his doctorate in composition and completed postdoctoral training at Stanford University. In recent years, he has collaborated with researchers on developing AI tools for co-creativity that explore “translations” between media. Basica is a lecturer in music at Stanford’s Center for Computer Research in Music and Acoustics (CCRMA).

Julie Zhu, DMA, is a composer, artist, and carillonist. Her work stands interstitial to instrumental music, electronics, and performance within settings ranging from chamber music stagings to museum sound installations to experimental film scores. Concision and poetry characterize her music, with commissions from Radio France, Dark Music Days Reykjavík, GMEM Marseille, GRAME Lyon, and Chamber Music America. Her research on music and AI focuses on the project Deep Drawing, which tests a machine’s ability to bring the intricate noises of drawing and writing to visual life. Zhu is an assistant professor of performing arts technology at the University of Michigan.