3 papers
cs.SD2026
Masked diffusion enables coherent beat tracking
Francesco Foscarin, Filip Korzeniowski, Richard Vogl
Current neural networks for beat tracking generate invalid outputs, such as consecutive downbeats and erratic tempo changes, even when these are not present in the training data. H…
eess.AS2026
Diff-VS: Efficient Audio-Aware Diffusion U-Net for Vocals Separation
Yun-Ning, Hung, Richard Vogl +2
While diffusion models are best known for their performance in generative tasks, they have also been successfully applied to many other tasks, including audio source separation. Ho…
eess.AS2025
Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation
Yun-Ning, Hung, Igor Pereira +1
In recent years, significant advances have been made in music source separation, with model architectures such as dual-path modeling, band-split modules, or transformer layers achi…