8 citations · 14 across the 4 of their papers we have counts for
4 papers
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…
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…
Moisesdb: A dataset for source separation beyond 4-stems
Igor Pereira, Felipe Araújo, Filip Korzeniowski +1
In this paper, we introduce the MoisesDB dataset for musical source separation. It consists of 240 tracks from 45 artists, covering twelve musical genres. For each song, we provide…
Towards multi-instrument drum transcription
Richard Vogl, Gerhard Widmer, Peter Knees
Automatic drum transcription, a subtask of the more general automatic music transcription, deals with extracting drum instrument note onsets from an audio source. Recently, progres…