AIMC 2026

Proceedings bulk download:

Matthew Peachey (Dalhousie University); Joseph Malloch (Dalhousie University). Exploring Musical Creativity in the Era of Generative Artificial Intelligence: A Qualitative Inquiry

Chen Wang (University of the Arts London). From Indeterminacy to Negotiability: Mediated Musicianship in AI-Assisted Musical Theatre Composition

Stéphane Gauvin (Université Laval). A Large-Scale Sentiment Analysis of AI vs. Conventional Music Videos

Michael Oehler (Osnabrück University); Leonard Bruns (Osnabrück University); Benedict Saurbier (Osnabrück University); Tray Minh Voong (Osnabrück University). Analyzing Creative Collaboration Discourse in VR Music-Making through Computational NLP

Ge Liu (Simon Fraser University); Philippe Pasquier (Simon Fraser University); Keon Ju Lee (Simon Fraser University); Paul Triana (Simon Fraser University); Tao-Tao He (Vanderbilt University); Martin Malandro (Sam Houston State University). Scaffolding Symbolic Music Generation: An Evaluation of Two Generative MIDI Tools for Novices

Sönke Erdmann (University of Potsdam); Julia Senfft (University of Bielefeld); Gergö Degen (University of Potsdam). Do Generative AI Systems Hinder or Encourage Creativity in Music Education?

Vincenzo Madaghiele (University of Oslo); Stefano Fasciani (University of Oslo); Tejaswinee Kelkar (University of Oslo); Çağrı Erdem (University of Oslo). Modeling Relations Between Musical Events in Continuous Time with Transformer Models for Live Co-Improvisational Interactions

Àlex Barrachina (Universitat Pompeu Fabra); Lonce Wyse (Universitat Pompeu Fabra); Sergi Jordà (Universitat Pompeu Fabra). Real-Time Conditioning Strategies for Shared Agency in AI-Mediated Piano Improvisation

Louis McCallum (UAL CCI); Anna Wszeborowska (UAL CCI). Scaffolding Off-the-Shelf Text-to-Audio Models for Real-Time Generation in Live Performance

Florent Berthaut (Université de Lille); Ken Déguernel (CNRS); Mathieu Giraud (CNRS); Barbara Dang (Independent artist); Matteo Plichon (Université de Lille); Olivier Capra (Université Catholique de Lille). Audience Experience of Visual Augmentations for Human-AI Co-Improvisations

Fabian Ostermann (Technische Universität Dortmund); Marco Pleines (Technische Universität Dortmund); Günter Rudolph (Technische Universität Dortmund). BbLearn: Sculpting Behavioral Clones in Modular Blackboard-Driven Music Systems

Evan O’Donnell (Goldsmiths, University of London); Atau Tanaka (Goldsmiths, University of London). AFTERnaut: A Multi-Modal Interactive Interface for Embodied Exploration of Neural Synthesis Latent Spaces

Dominic Thibault (Université de Montréal); David Piazza (Université de Montréal). Wænderer: Repurposing Pre-Trained VAEs as Instruments via Abstract Timbre Space

Błażej Kotowski (Universitat Pompeu Fabra); Frederic Font (Universitat Pompeu Fabra). Architecture and Affordances of PLAUD: Performative Latents and Unsupervised DDSP

Leonardo Auri (Technische Universität Berlin); Tom Beckmann (Hasso Plattner Institute); Henrik von Coler (Georgia Institute of Technology); Robert Hirschfeld (Hasso Plattner Institute). Exploring High-Dimensional Spaces: Evaluation of a Node-Based Interface for Neural Audio Synthesis

Esteban Gutiérrez (Universitat Pompeu Fabra); Behzad Haki (Universitat Pompeu Fabra); Christopher Haworth (University of Birmingham); Xavier Serra (Universitat Pompeu Fabra); Rodrigo Cádiz (Pontificia Universidad Católica de Chile). Learned Continuous Synthesis of Quadratic Difference Tone Spectra

David Piazza (University of Montreal). Material Biases as Compositional Resources in Text-to-Audio Models

Riccardo Ancona (Università di Bologna). Epistemic Inadequacies in Neural Audio Synthesis Evaluation

Matthew Sandler (Feed Media Group). Embedding Amnesia and the Partial Ear of Machine Listening

Chenxi Bao (DynamiX); Jingrui Han (Auckland University of Technology); Zhaokai Wang (Shanghai Jiao Tong University); Clinton Watkins (Auckland University of Technology). Whose Intent? Distributed Authorship, Cross-Modal Constraints, and the Limits of Generative Music Systems in Screen Scoring

Abdolrahim Tooranian (University of Pisa); Bob L. T. Sturm (KTH Royal Institute of Technology). Audio-Side Reinforcement Learning for Symbolic Music Style Adaptation: Extending SMART with Composite Rewards

Louis McCallum (UAL CCI); Mick Grierson (UAL CCI). Find the Neurons, Control the Feature? Selection Strategies for Network Bending Audio Models

Mikael Molliex (University of Montreal); Étienne Abassi (McGill University). Personalized Gesture-to-Sound Mapping for Accessible Digital Musical Instruments

Veronika Reutz Drobnić (HfM Karlsruhe); Julian Brandhofer (HfM Karlsruhe). A Duet of Intelligences: Human–AI Co-Creation in Live Piano Performance

Oded Ben-Tal (Kingston University). On the Music(ai)lly Possible

Olivier Jambois (ENTI - University of Barcelona). A local LLM-based system for interactive musical improvisation

Alexander Lunt (Nuremberg University of Music); Sebastian Trump (Nuremberg University of Music). Pattern Atlas: Exploring Personal Rhythm Spaces in Ableton Live with a Transformer-Based Variational Autoencoder

Uandha Fernandes Barbosa (Concordia University); Dominic Thibault (Université de Montréal). The Good, The Bad and The Ugly: Can Live Coding and Large Language Models Ride Together?

Matteo Lorito (Conservatorio di Musica di Torino). Navigating Density Topologies: Multi-Scale Markov Chains for Real-Time Rhythmic Co-Improvisation

Evan Moore (Université de Montréal); Mateo Bellefleur Martinez (Université de Montréal); Stéphane Drouin (Université de Montréal). M.E.S.H. – Navigating the latent space through the body-instrument; reclaiming one’s digital traces in the age of large AI models

Koray Tahiroğlu (Aalto University); Mikael Hokkanen (Aalto University); Robin Welsch (Aalto University); Mikko Sams (Aalto University); Jukka Nykänen (Professional Musician); Mäel Archenault (ENSEA École Nationale Supérieure de l’Électronique); Agnes Kloft (Aalto University). Seeing Sound: An Audiovisual Interpretation of Lou Reed’s “Perfect Day”

Koray Tahiroğlu (Aalto University); Mikael Hokkanen (Aalto University); Robin Welsch (Aalto University); Mikko Sams (Aalto University); Jukka Nykänen (Professional Musician); Mäel Archenault (ENSEA École Nationale Supérieure de l’Électronique); Agnes Kloft (Aalto University). Real-Time MIDI Transformer Integration in Pure Data: A Multi-Threaded Architecture for Interactive AI Music Generation

Lluis Guerra Recas (ENTI-UB); Olivier Jambois (ENTI-UB). Emotion Driven Dialogue — A Model of Mediated Musicianship through Biofeedback-Informed Improvisation

Shun Sawada (Nippon Institute of Technology). Where Does Instrumentality Reside in Symbolic Music? A Structural Analysis of a Symbolic-Domain Instrument Classifier

Adam Wilson (City University of New York). Fast Discovery of Motivic Patterns in Symbolic Music via Lossy Compression

Steven Lewis (University of South Florida). Performing in the Assemblage: Virtuosity in AI-Mediated Environments

Loïs Guerci (IRCAM); Laure Prétet (Bridge.audio). ClimaCS: A Multi-genre Dataset of Timed Comments for Music Highlight detection

Dong-Feng Guo (National Cheng Kung University, Institute of Creative Industries Design); Wei-Chi Chien (National Cheng Kung University, Institute of Creative Industries Design). From Prompt to Platform: Agency in a Suno Workflow for Taigi Pop Music

Alfred Pichard (Sony Computer Science Laboratories); Stefan Lattner (Sony Computer Science Laboratories). Descriptor-Aware Latent Granular Mosaicing for Real-Time Audio Re-Synthesis

Laura Ibáñez-Martínez (Music Technology Group (UPF)); Roser Batlle-Roca (Music Technology Group (UPF)); Xavier Serra (Music Technology Group (UPF)); Martín Rocamora (Music Technology Group (UPF)). MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI

Paolo Sandejas (California Institute of the Arts); Zhaohan Cheng (California Institute of the Arts); Ajay Kapur (California Institute of the Arts). Loops That Listen: A Voice-Controlled Dynamic Drum Looper with AI Variation

Renhang Liu (Singapore University of Technology and Design); Abhinaba Roy (SUTD); Dorien Herremans (Singapore University of Technology and Design). Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction

Laura Bouget (Sorbonne University). Creative Compression: Rethinking Musicianship in AI-Mediated Music

Ivan Zavada (The University of Sydney). Advancing Mediated Musicianship in Computational Co-Creativity

Matthew Creighton (Goldsmiths, University of London). Circle: high-dimensional latent space traversal in real time on a two-dimensional controller

Abhinaba Roy (SUTD); Junyi Liang (SUTD); Dorien Herremans (SUTD). nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies

Jordan Shier (Queen Mary University of London); Teresa Pelinski (Queen Mary University of London); Charalampos Saitis (Queen Mary University of London); Andrew Robertson (Ableton AG); Andrew McPherson (Imperial College London). Rescuing Performance from the Demo: Co-Designing Drum Gesture Mappings with a Percussionist

Andres Mondaca Sepúlveda (National Autonomous University of México). What the Label Misses: A Hybrid Multidimensional Taxonomy for Analyzing Heterogeneous Uses of GenAI in Popular Music

Michael Ott (Conservatorium van Amsterdam, Amsterdam University of the Arts); Atser Damsma (Conservatorium van Amsterdam, Amsterdam University of the Arts). Adaptive Real-Time Spatialization for Live Music Improvisation

David Dalmazzo (Music Technology Group, Universitat Pompeu Fabra); Ken Déguernel (CRIStAL, Université de Lille / CNRS). Modeling 53-TET Chord Progressions with a Microtonal GPT-2

Guilherme Coelho (Technische Universität Berlin). The Age of Hyperreproduction: Latent Floods, Autosimulacra, and the New Media Ecology of Generative AI

Benjamin Lavastre (McGill University); Brice Gatinet (McGill University). Adapting Saxophonists’, Flutists’, and Clarinetists’ expertise to the Karlax DMI Mediated by Neural Networks

Edgar Eggert (Stanford University); Philipp Stolberg (Musician). Crowdsourcing Open-License Music Tags on Closed Creative Platforms: A Negative Case Study of a Game-with-a-Purpose on TikTok

Kieran White (University of East London); Rahime Belen Saglam (University of East London). Beyond Engagement: A Rule-Based Approach to AI-Driven Music Recommendation for Emotional Wellbeing

Joseph Longardner (Sichuan Conservatory of Music). Group Listening and Authorship Discrimination of AI-Generated and Human-Produced Instrumental Music

Tugrul Orkun Akyol (Freie Universität Berlin). LoRA Training and the Fragmentation of Style in Text-to-Music Systems

Tutorials/Workshops

Nicola Leonard Hein (University of Music Lübeck); Pierre Alexandre Tremblay (Conservatorio della Svizzera italiana); Gilbert Nouno (Haute école de musique de Genève). Dialoguing with Improvising Machines: A comparative-phenomenological Workshop on Musical Agent Systems

Philippe Pasquier (Simon Fraser University). Computer-Assisted Composition Tutorial: From Survey to Studio Workflows with MIDI-GPT

Music

Oded Ben-Tal (Kingston University). Wahrheit. Freiheit. Dummheit. Bosheit. (Truth. Freedom. Stupidity. Malice.)

Anna Gatzioura (Postdoctoral researcher). Distant Memories: A co-creative approximation to urban soundscape memory

Bruna Guarnieri (Plantasia Space); Gabriel Vigliensoni (Concordia University). Orbits and Bodies: A Live Audiovisual Performance with Bespoke Machine Learning Instruments

Erik Nystrom (City, University of London). Compose/Decompose

Thomas Boulousis (Kingston University London). The Allegory of the Cave

Chenxi Bao (DynamiX); Baisen Wang (DynamiX); Yuting Wu (Individual). Glitching the Algorithm: Reclaiming Performative Agency through Real-Time Distilled AI and Experimental Fine-Tuning

Yinuo Chen (King’s College London). return 0: An Audio-Visual Performance of Memory and Countermemory

Fabian Ostermann (Technische Universität Dortmund); Tim Löhde (independent). Planting and Shaping the Neural Tree: Growing a Musical Collaborator Through Objective-Free Neuroevolution in Open-Ended Exploration

Martin Heinze (Independent Artists). Latent Jamming in Reykjavík Sunburn: Electronic Music Improvisation Employing Generative Neural Audio Synthesis

Błażej Kotowski (Universitat Pompeu Fabra). Latent Sampling: a PLAUD Performance

Ferdinando Romano (Conservatorio di Como). Co-creative Practices in AI Improvisation: Redefining Agency in a Solo Performance

Ilia Viazov (Musikhochschule Lübeck). sonic.snapshot

Adam Wilson (City University of New York). The Fourth Man, for fretless electric guitar and real-time electronics

Dominic Thibault (Université de Montréal); David Piazza (Université de Montréal). Burnt Memories - Echoes of Datasets through Embodiement

Federico Visi (Luleå University of Technology). Ghosts in the Sophtar

Nicola Casetta (Conservatory of Teramo). Eigenform: A Neural-Feedback Hybrid System for Improvisational Electronic Music Performance

Nicola Leonard Hein (University of Music Lübeck). Twisted Circuits | Rhythm Traces - III - For Buchla Music Easel, Musical Agent System, and Sonic Acceleration Box

Sara Montagni (Conservatory Luigi Boccherini). LT: Embodied Memory and Field Recording as Compositional Practice in the Age of Generative Audio

Pingting Xiao (The University of Manchester). Sonic Echoes of Ink

Alvaro Collar (Stirling College, Chengdu University). Noise as Signal: Rorscharch’s Garden

Anthony Charretier (Independent Researcher & Musician). Spawning the Groove: OBSIDIAN-Neural as a Live Performance Instrument for AI-Mediated Improvisation