The AIMC 2023 logo.
In September 2023 two research labs focussing on musical instruments and live performance came together to run the International Conference on Artificial Intelligence and Music Creativity, or AIMC 2023. After our application to the AI and Music Creativity board, it was decided that we would run the 2023 conference at the University of Sussex with the theme of “Intelligent Performance Systems”.
The two labs organising the conference were: Experimental Music Technologies Lab
The conference had 75 submissions from all over the world across diverse tracks (papers, demos, doctoral consortium and performances). We also had 14 Alt-AIMC submissions, but the idea with the “Alt” is to allow for late breaking, unfinished or controversial work. Those were judged by the jury and not double blind peer-reviewed like the academic papers. 85 people registered to the conference and in addition to the Sussex and Icelandic teams, we were around 100 people participating.
The conference had two keynotes, paper sessions (5 min lightning talks, followed by poster sessions), performances, workshops, demos and an algorave.
Check the website here: AIMC 2023
The AIMC 2023 proceedings can be found here
Keynote 1 - Dadabots
CJ gave a keynote on neural synthesis and the training of audio diffusion models.
Keynote 2 - Elaine Chew
Elaine Chew, who runs the COSMOS project presented her past work in the field of computational analysis of musical creativity.
Elaine wrote a blog post about her participation at AIMC.
Information on both keynote speakers can be found here
Paper session 1 (incl. Alt-AIMC and Demos)
“Bela-IREE: An Approach to Embedded Machine Learning for Real-Time Music Interaction” Ezra Pierce, Victor Shepardson, Jack Armitage, Thor Magnusson
”[neuralnet]: A Pure Data External for the Creation of Neural Networks Written in Pure C” Alexandros Drymonitis
“NeuralMidiFx: A Wrapper Template for Deploying Neural Networks as VST3 Plugins” Behzad Haki, Julian Lenz, Sergi Jorda
“Exploring Latent Spaces of Tonal Music using Variational Autoencoders” Nádia Carvalho, Gilberto Bernardes de Almeida
“Emotional Machines” Jorge Forero, Mónica Mendes, Gilberto Bernardes
“Finetuning Rolypoly~ 2.0: an expressive drum machine that adapts with every performance” Grigore Burloiu
“AI in live coding environments: Pandora’s Dream” Celeste Betancur Gutierrez
“Latent Space Explorer” Alexander Lunt, Sebastian Trump
“Investigation of Live Coding Using a Combination of ChatGPT and Fine-Tuned GPT-3” Tomoki Okuda and Kazuhiro Jo
Paper session 2 (incl. Alt-AIMC and Demos)
“The Phenomenology of Deconstructivist Aesthetics in Music: An Autoethnography of Errors, Erasures, Permutations, Discontinuities, Paradoxes and Artificial Intelligences” Philon Nguyen, Eldad Tsabary
“Music AI’s Potential Impact: Scoping the terms of the debate about value” Oliver Bown
“Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI” Kelsey Cotton, Kıvanç Tatar
“YouTube Mirror: An Interactive Audiovisual Installation based on Cross-Modal Generative Modeling” Sihwa Park
“Risks and Opportunities from Artificial Creativity” Roisin Loughran
“Extensible Embodied Knowledge: Bridging Performance Practice and Intelligent Performance System Design” Lucy Strauss, Matthew Yee-King
“The A in AIMC” Thor Magnusson
“Are we solving the wrong problems - and doing harm in the process?” Anna-Kaisa Kaila, Andre Holzapfel, Bob L. T. Sturm
“Beyond mutation: how can we acknowledge symbiogenesis in evolutionary music coding?” Matthias Jung
Paper session 3 (incl. Alt-AIMC and Demos)
“Musical and Meta-Musical Conversations” Oded Ben-Tal, David Dolan
“Silicon for Orchestra and Artificial Intelligence: Three Strategies for Incorporating Artificial Intelligence into the Compositional Process of Orchestral Music” Robert Laidlow
“Human-AI Musicking: A Framework for Designing AI for Music Co-creativity” Craig Vear, Steve Benford, Juan Martinez Avila, Solomiya Moroz
“Revisiting Reynolds - Autonomous Agents for Spatial Audiovisual Composition and Performances” Damian Dziwis
“Liveness and machine listening in musical live coding: A conceptual framework for designing agent-based systems” Georgios Diapoulis
“Virtual AI Jam: AI-Driven Virtual Musicians for Human-in-the-Loop Musical Improvisation” Torin Hopkins, Alvin Jude, Greg Phillips, Ellen Do
“Introducing the Caulsio: using causal inference to influence collaboration in a shared music making environment” Steve Symons
“Accessible Co-Creativity through Language and Voice Input” Prateek Verma, Constantin Basica, Patricia Alessandrini, Alexandru Berceanu
“Intimate Musical Collaboration with a Probabilistic Model” Karl Johannsson
Paper session 4 (incl. Alt-AIMC and Demos)
“Sequential Pitch Distributions for Raga Detection” VISHWAAS NARASINH, SENTHIL RAJA G
“The Ai Music Generation Challenge 2022: Summary and Results” Bob L. Sturm
“Statistical evaluation of abc-formatted music at the levels of items and corpora” Laura Cros Vila, Bob L. T. Sturm
“Parsing musical structure to enable meaningful variations” Maziar Kanani, Seán O’Leary, James McDermott
“Deep Learning with Audio: An Explorative Syllabus for Music Composition and Production” Koray Tahiroglu, Shenran Wang, Eduard Mihai Tampu, Jackie Lin
“Are words enough? On the semantic conditioning of affective music generation.” Jorge Forero, Gilberto Bernardes, Mónica Mendes
“Closing the Loop: Enabling User Feedback and Testing in Symbolic Music Generation through a Python Framework and Ableton Live Integration” Rui Guo
“Introductory Studies on Raga Multi-track Music Generation of Indian classical music using AI” Sreekanth Gopi, Femi William
“Building a Nature Soundscape Generator for the Post-Biodiversity Future” Avery Bick
Thor Magnusson and Chris Kiefer reflecting upon the conference and Oded Ben-Tal introduces AIMC 2024 in Oxford.
Concert 1 in ACCA
Odd Couple, Oded Ben-Tal and David Dolan, piano and computer.
Organic Algorithmic Composition, Gyuchul Moon.
Quantum Fantasy, Jeff Morris. For Conductor and Computer.
AI, Franziska Schroeder and Federico Rueben. Saxophone and live coding.
Concert 2 in ACCA
One, Two, Many, Oded Ben-Tal. For two flutes and computer. Rowland Sutherland on flute 1.
iː ɡoʊ weɪ, by Jonathan Reus. For Computer and Voice.
Notochord Arcs and scrambled Signals, Victor Shepardson and Nicola Privato. For two computers and human operators.
SCAMP Singularity, Henrique Portovedo. Augmented Saxophone and Computer.
The historically Informed AI: Johann Sperger through Time and Bass, for Contrabass, Viola, Magnetic Discs and Computer. Based on Sonata for Contrabass and Viola by Johann Matthias Sperger (1777). Darija Andzakovic , Natalia Duarte, and Nicola Privato.
Algorave in Brighton
Uncanny, Begüm Çelik and Tuğrul Veli Şalcı
Cartographic, Tasos Asonitis
James GM (Live) - Machine Learning And Audio-Visual Performance In Unreal Engine 5, James Gibbons-MacGregor
drum.code, Timo Hoogland
Pandora’s Dream, Celeste Betancur Gutierrez
Live Coding with an Affective Autonomous Agent in TidalCycles- Performance, Liz Wilson
Gagnavera, Jack Armitage