3 papers
cs.SD2026
Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
Zachary Novack, Stephen Brade, Haven Kim +8
Interactive streaming music generation promises the use of generative models for live performance and co-creation that is impossible with offline models. However, SOTA models exist…
cs.SD2026
Mix2Morph: Learning Sound Morphing from Noisy Mixes
Annie Chu, Hugo Flores García, Oriol Nieto +3
We introduce Mix2Morph, a text-to-audio diffusion model fine-tuned to perform sound morphing without a dedicated dataset of morphs. By finetuning on noisy surrogate mixes at higher…
cs.SD2025
The Rhythm In Anything: Audio-Prompted Drums Generation with Masked Language Modeling
Patrick O'Reilly, Julia Barnett, Hugo Flores García +4
Musicians and nonmusicians alike use rhythmic sound gestures, such as tapping and beatboxing, to express drum patterns. While these gestures effectively communicate musical ideas,…