Lightning Talks for Poster Sessions
Lightning Talks for Poster Session 1
- A Duet of Intelligences: Human–AI Co-Creation in Live Piano Performance by Veronika Reutz Drobnić (HfM Karlsruhe) & Julian Brandhofer (HfM Karlsruhe)
- On the Music(ai)lly Possible by Oded Ben-Tal (Kingston University)
- A local LLM-based system for interactive musical improvisation by Olivier Jambois (ENTI - University of Barcelona)
- Pattern Atlas: Exploring Personal Rhythm Spaces in Ableton Live with a Transformer-Based Variational Autoencoder by Alexander Lunt (Nuremberg University of Music) & Sebastian Trump (Nuremberg University of Music)
- The Good, The Bad and The Ugly: Can Live Coding and Large Language Models Ride Together? by Uandha Fernandes Barbosa (Concordia University) & Dominic Thibault (Université de Montréal)
- Navigating Density Topologies: Multi-Scale Markov Chains for Real-Time Rhythmic Co-Improvisation by Matteo Lorito (Conservatorio di Musica di Torino)
- M.E.S.H. – Navigating the latent space through the body-instrument; reclaiming one’s digital traces in the age of large AI models by Evan Moore (Université de Montréal ), Mateo Bellefleur Martinez (Université de Montréal), & Stéphane Drouin (Université de Montréal)
- Seeing Sound: An Audiovisual Interpretation of Lou Reed’s “Perfect Day” by 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 by 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)
- Emotion Driven Dialogue — A Model of Mediated Musicianship through Biofeedback-Informed Improvisation by Lluis Guerra Recas (ENTI-UB) & Olivier Jambois (ENTI-UB)
- Where Does Instrumentality Reside in Symbolic Music? A Structural Analysis of a Symbolic-Domain Instrument Classifier by Shun Sawada (Nippon Institute of Technology)
- Fast Discovery of Motivic Patterns in Symbolic Music via Lossy Compression by Adam Wilson (City University of New York)
- Performing in the Assemblage: Virtuosity in AI-Mediated Environments by Steven Lewis (University of South Florida)
- ClimaCS: A Multi-genre Dataset of Timed Comments for Music Highlight detection by Loïs Guerci (IRCAM) & Laure Prétet (Bridge.audio)
- From Prompt to Platform: Agency in a Suno Workflow for Taigi Pop Music by Dong-Feng Guo (National Cheng Kung University, Institute of Creative Industries Design) & Wei-Chi Chien (National Cheng Kung University, Institute of Creative Industries Design)
- Descriptor-Aware Latent Granular Mosaicing for Real-Time Audio Re-Synthesis by Alfred Pichard (Sony Computer Science Laboratories) & Stefan Lattner (Sony Computer Science Laboratories)
- MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI by 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))
Lightning Talks for Poster Session 2
- Loops That Listen: A Voice-Controlled Dynamic Drum Looper with AI Variation by Paolo Sandejas (California Institute of the Arts), Zhaohan Cheng (California Institute of the Arts), & Ajay Kapur (California Institute of the Arts)
- Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction by Renhang Liu (Singapore University of Technology and Design), Abhinaba Roy (SUTD), & Dorien Herremans (Singapore University of Technology and Design)
- Creative Compression: Rethinking Musicianship in AI-Mediated Music by Laura Bouget (Technische Universität Berlin)
- Advancing Mediated Musicianship in Computational Co-Creativity by Ivan Zavada (The University of Sydney)
- Circle: high-dimensional latent space traversal in real time on a two-dimensional controller by Matthew Creighton (Goldsmiths, University of London)
- nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies by Abhinaba Roy (SUTD), Junyi Liang (SUTD), & Dorien Herremans (SUTD)
- Rescuing Performance from the Demo: Co-Designing Drum Gesture Mappings with a Percussionist by 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)
- What the Label Misses: A Hybrid Multidimensional Taxonomy for Analyzing Heterogeneous Uses of GenAI in Popular Music by Andres Mondaca Sepúlveda (National Autonomous University of México)
- Adaptive Real-Time Spatialization for Live Music Improvisation by Michael Ott (Conservatorium van Amsterdam, Amsterdam University of the Arts) & Atser Damsma (Conservatorium van Amsterdam, Amsterdam University of the Arts)
- Modeling 53-TET Chord Progressions with a Microtonal GPT-2 by Vincenzo Madaghiele (University of Oslo), Stefano Fasciani (University of Oslo) Tejaswinee Kelkar (University of Oslo), & Çağrı Erdem (University of Oslo)
- The Age of Hyperreproduction: Latent Floods, Autosimulacra, and the New Media Ecology of Generative AI by Guilherme Coelho (Technische Universität Berlin)
- Adapting Saxophonists', Flutists', and Clarinetists' expertise to the Karlax DMI Mediated by Neural Networks by Benjamin Lavastre (McGill University) & Brice Gatinet (McGill University)
- Crowdsourcing Open-License Music Tags on Closed Creative Platforms: A Negative Case Study of a Game-with-a-Purpose on TikTok by Edgar Eggert (Stanford University), & Philipp Stolberg (Musician)
- Beyond Engagement: A Rule-Based Approach to AI-Driven Music Recommendation for Emotional Wellbeing by Kieran White (University of East London) & Rahime Belen Saglam (University of East London)
Video Lightning Talks (pre-recorded)
- Group Listening and Authorship Discrimination of AI-Generated and Human-Produced Instrumental Music by Joseph Longardner (Sichuan Conservatory of Music)
- LoRA Training and the Fragmentation of Style in Text-to-Music Systems by Tugrul Orkun Akyol (Freie Universität Berlin)