Proceedings
Papers
- 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 (Technische Universität Berlin). 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
- Vincenzo Madaghiele (University of Oslo), Stefano Fasciani (University of Oslo) Tejaswinee Kelkar (University of Oslo), & Çağrı Erdem (University of Oslo). 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
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
- 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 Saxophone Improvisation
- 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