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20242026
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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.SD2025

FoleyBench: A Benchmark For Video-to-Audio Models

Satvik Dixit, Koichi Saito, Zhi Zhong +2

Video-to-audio generation (V2A) is of increasing importance in domains such as film post-production, AR/VR, and sound design, particularly for the creation of Foley sound effects s…

cs.SD2025

SoundReactor: Frame-level Online Video-to-Audio Generation

Koichi Saito, Julian Tanke, Christian Simon +7

Prevailing Video-to-Audio (V2A) generation models operate offline, assuming an entire video sequence or chunks of frames are available beforehand. This critically limits their use…

cs.SD2024

DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation

Yin-Jyun Luo, Kin Wai Cheuk, Woosung Choi +8

Existing work on pitch and timbre disentanglement has been mostly focused on single-instrument music audio, excluding the cases where multiple instruments are presented. To fill th…

cs.SD2024

SpecMaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Beyond

Marco Comunità, Zhi Zhong, Akira Takahashi +7

Recent advances in generative models that iteratively synthesize audio clips sparked great success to text-to-audio synthesis (TTA), but with the cost of slow synthesis speed and h…