research & software
Writing & Peer-Reviewed Research Publications
Moore, Ted. 2025. “Learned Navigation of StyleGAN3 Latent Space from Audio Descriptors.” In Proceedings of the 6th Artificial Intelligence and Musical Creativity (AIMC) Conference, Brussels, Belgium.
Moore, Ted, James Bradbury, PA Tremblay, and Owen Green. 2025. “Making Machine Learning Musical: Reflections on a Year of Teaching FluCoMa.” Journal SEAMUS 32, (1-2): 24-38.
Moore, Ted. 2024. “Musical Agents, Agency, & AI: Towards a Phenomenological Understanding.” In Proceedings of the International Computer Music Conference (ICMC), Seoul, South Korea.
Moore, Ted and Jean Brazeau. 2023. “Serge Modular Archive Instrument (SMAI): Bridging Skeuomorphic & Machine Learning Enabled Interfaces.” In Proceedings of the New Interfaces for Musical Expression (NIME) Conference, Mexico City, Mexico.
Moore, Ted. 2022. “Expression, Collaboration, and Intuition.” Wet Ink Archive 6.
Green, Owen, Pierre Alexandre Tremblay, Ted Moore, James Bradbury, Jacob Hart, Alex Harker, and Gerard Roma. 2022. “Architecture about Dancing: Creating a Cross Environment, Cross Domain Framework for Creative Coding Musicians.” In Proceedings of the Psychology of Programming Interest Group (PPIG) Conference, 12-24. The Open University, Milton Keynes, UK.
Moore, Ted. 2021. “Polynomial Functions in Zuraj’s ‘Changeover.’” Perspectives of New Music 59 (1).
Moore, Ted. 2021. “Human and Artificial Intelligence Alignment: AI as Musical Assistant and Collaborator.” My PhD research.
Selected Software
Checkout my github for more.
- DJII modular live electronic fx commissioned by improvising bassoonist Dana Jessen (2022-) (SuperCollider)
- Mel-Frequency Cepstral Coefficients (MFCC) Interactive Explanation (2022) (p5.js)
- Serge Modular Archive Instrument (2021-22) (SuperCollider, Processing, & C++ openFrameworks)
- Module-Tensor: laptop improvisation software (2014-) (SuperCollider) (see performances of this software in use)
- Microtonal Keyboard (2016) (SuperCollider)