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20242026
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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.SD2025

Streaming Generation for Music Accompaniment

Yusong Wu, Mason Wang, Heidi Lei +5

Music generation models can produce high-fidelity coherent accompaniment given complete audio input, but are limited to editing and loop-based workflows. We study real-time audio-t…

cs.SD2025

Adaptive Accompaniment with ReaLchords

Yusong Wu, Tim Cooijmans, Kyle Kastner +10

Jamming requires coordination, anticipation, and collaborative creativity between musicians. Current generative models of music produce expressive output but are not able to genera…

cs.SD2025

FLAM: Frame-Wise Language-Audio Modeling

Yusong Wu, Christos Tsirigotis, Ke Chen +5

Recent multi-modal audio-language models (ALMs) excel at text-audio retrieval but struggle with frame-wise audio understanding. Prior works use temporal-aware labels or unsupervise…

cs.SD2024

Hierarchical Generative Modeling of Melodic Vocal Contours in Hindustani Classical Music

Nithya Shikarpur, Krishna Maneesha Dendukuri, Yusong Wu +2

Hindustani music is a performance-driven oral tradition that exhibits the rendition of rich melodic patterns. In this paper, we focus on generative modeling of singers' vocal melod…