no code implementations • 19 Oct 2022 • H. Wang, S. Karami, O. Dia, H. Ritter, E. Emamjomeh-Zadeh, J. Chen, Z. Xiang, D. J. Miller, G. Kesidis
Using a feature embedding found by self-supervised representation learning, a data cleansing method, which combines sample filtering and re-labeling, is developed.
1 code implementation • 28 Nov 2021 • W. Zai El Amri, O. Tautz, H. Ritter, A. Melnik
In this work, we demonstrate how a publicly available, pre-trained Jukebox model can be adapted for the problem of audio source separation from a single mixed audio channel.
Ranked #12 on Music Source Separation on MUSDB18-HQ