Oral Sessions
Oral Session 1: The Generative Turn: Rethinking Musicianship and Creative Agency
Papers examining how generative systems and prompt-based platforms reshape musicianship, style, and creative agency- Exploring Musical Creativity in the Era of Generative Artificial Intelligence: A Qualitative Inquiry by Matthew Peachey (Dalhousie University) & Joseph Malloch (Dalhousie University)
- From Indeterminacy to Negotiability: Mediated Musicianship in AI-Assisted Musical Theatre Composition by Chen Wang (University of the Arts London)
- A Large-Scale Sentiment Analysis of AI vs. Conventional Music Videos by Stéphane Gauvin (Université Laval)
- Analyzing Creative Collaboration Discourse in VR Music-Making through Computational NLP by Michael Oehler (Osnabrück University), Leonard Bruns (Osnabrück University), Benedict Saurbier (Osnabrück University), & Tray Minh Voong (Osnabrück University)
- Scaffolding Symbolic Music Generation: An Evaluation of Two Generative MIDI Tools for Novices by 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)
- Do Generative AI Systems Hinder or Encourage Creativity in Music Education? by Sönke Erdmann (University of Potsdam), Julia Senfft (University of Bielefeld), & Gergö Degen (University of Potsdam)
Oral Session 2: Shared Agency, Performance and Improvisation
Systems and practices where creative control is negotiated between human performers and AI- Modeling Relations Between Musical Events in Continuous Time with Transformer Models for Live Co-Improvisational Interactions by Vincenzo Madaghiele (University of Oslo), Stefano Fasciani (University of Oslo), Tejaswinee Kelkar (University of Oslo), & Çağrı Erdem (University of Oslo)
- Real-Time Conditioning Strategies for Shared Agency in AI-Mediated Piano Improvisation by Àlex barrachina (Universitat Pompeu Fabra), Lonce Wyse (Universitat Pompeu Fabra), & Sergi Jordà (Universitat Pompeu Fabra)
- Scaffolding Off-the-Shelf Text-to-Audio Models for Real-Time Generation in Live Performance by Louis McCallum (UAL CCI) & Anna Wszeborowska (UAL CCI)
- Audience Experience of Visual Augmentations for Human-AI Co-Improvisations by 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)
- BbLearn: Sculpting Behavioral Clones in Modular Blackboard-Driven Music Systems by Fabian Ostermann (Technische Universität Dortmund), Marco Pleines (Technische Universität Dortmund), & Günter Rudolph (Technische Universität Dortmund)
Oral Session 3: Instruments, Interfaces and Latent Spaces
Instruments and interfaces that make models playable, from latent space navigation to live coding- AFTERnaut: A Multi-Modal Interactive Interface for Embodied Exploration of Neural Synthesis Latent Spaces by Evan O'Donnell (Goldsmiths, University of London) & Atau Tanaka (Goldsmiths, University of London)
- Wænderer: Repurposing Pre-Trained VAEs as Instruments via Abstract Timbre Space by Dominic Thibault (Université de Montréal) & David Piazza (Université de Montréal)
- Architecture and Affordances of PLAUD: Performative Latents and Unsupervised DDSP by Błażej Kotowski (Universitat Pompeu Fabra) & Frederic Font (Universitat Pompeu Fabra)
- Exploring High-Dimensional Spaces: Evaluation of a Node-Based Interface for Neural Audio Synthesis by Leonardo Auri (Technische Universität Berlin), Tom Beckmann (Hasso Plattner Institute), Henrik von Coler (Georgia Institute of Technology), & Robert Hirschfeld (Hasso Plattner Institute)
- Learned Continuous Synthesis of Quadratic Difference Tone Spectra by 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)
- Material Biases as Compositional Resources in Text-to-Audio Models by David Piazza (University of Montreal)
Oral Session 4: Listening, Evaluation and Authorship
Papers regarding how we listen to, evaluate, and attribute AI-generated music, in research, practice, and education- Epistemic Inadequacies in Neural Audio Synthesis Evaluation by Riccardo Ancona (Università di Bologna)
- Embedding Amnesia and the Partial Ear of Machine Listening by Matthew Sandler (Feed Media Group)
- Whose Intent? Distributed Authorship, Cross-Modal Constraints, and the Limits of Generative Music Systems in Screen Scoring by Chenxi Bao (DynamiX), Jingrui Han (Auckland University of Technology), Zhaokai Wang (Shanghai Jiao Tong University), & Clinton Watkins (Auckland University of Technology)
- Audio-Side Reinforcement Learning for Symbolic Music Style Adaptation: Extending SMART with Composite Rewards by Abdolrahim Tooranian (University of Pisa) & Bob L. T. Sturm (KTH Royal Institute of Technology)
- Find the Neurons, Control the Feature? Selection Strategies for Network Bending Audio Models by Louis McCallum (UAL CCI) & Mick Grierson (UAL CCI)
Video Talks (pre-recorded)
Systems and practices where creative control is negotiated between human performers and AI- Personalized Gesture-to-Sound Mapping for Accessible Digital Musical Instruments by Mikael Molliex (University of Montreal) & Étienne Abassi (McGill University)