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20232026
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cs.SD2026

FLOMSS: Generative Music Source Separation by Flow Matching

Shuyang Cui, Zhi Zhong, Keisuke Toyama +10

Music source separation (MSS) has been conventionally addressed by discriminative methods. Recently, flow matching has emerged as a strong generative paradigm for modeling complex…

cs.SD2026

Break-the-Beat! Controllable MIDI-to-Drum Audio Synthesis

Shuyang Cui, Zhi Zhong, Qiyu Wu +9

Current methods for creating drum loop audio in digital music production, such as using one-shot samples or resampling, often demand non-trivial efforts of creators. While recent g…

cs.SD2026

LLM2Fx-Tools: Tool Calling For Music Post-Production

Seungheon Doh, Junghyun Koo, Marco A. Martínez-Ramírez +5

This paper introduces LLM2Fx-Tools, a multimodal tool-calling framework that generates executable sequences of audio effects (Fx-chain) for music post-production. LLM2Fx-Tools uses…

cs.SD2025

Cross-Modal Learning for Music-to-Music-Video Description Generation

Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu +4

Music-to-music-video generation is a challenging task due to the intrinsic differences between the music and video modalities. The advent of powerful text-to-video diffusion models…

cs.SD2025

DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning

Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu +2

Recent advancements in music large language models (LLMs) have significantly improved music understanding tasks, which involve the model's ability to analyze and interpret various…