7 citations · 7 across the 5 of their papers we have counts for
5 papers
Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation
Scott H. Hawley
Collaborative music agents need internal representations rich enough to support both understanding and generation, yet flexible enough for a workflow where the human retains agency…
MIDI-RAE-JEPA: Hierarchical Representation Learning and Generation for Symbolic Music
Scott H. Hawley
Rich internal representations of musical structure are essential for music understanding tasks such as machine-assisted music co-writing, yet self-supervised approaches for symboli…
Pictures Of MIDI: Controlled Music Generation via Graphical Prompts for Image-Based Diffusion Inpainting
Scott H. Hawley
Recent years have witnessed significant progress in generative models for music, featuring diverse architectures that balance output quality, diversity, speed, and user control. Th…
Operational Latent Spaces
Scott H. Hawley, Austin R. Tackett
We investigate the construction of latent spaces through self-supervised learning to support semantically meaningful operations. Analogous to operational amplifiers, these "operati…
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor +2
Generating long-form 44.1kHz stereo audio from text prompts can be computationally demanding. Further, most previous works do not tackle that music and sound effects naturally vary…