Hello all, here are the first baselines for Leaderboard A and B of the MDX track:
- UMX trained on label-swap dataset: Open-Unmix-Pytorch LabelNoise | Zenodo
- UMX trained on bleeding dataset: Open-Unmix Pytorch Bleeding | Zenodo
These models are trained directly on the noisy datasets without paying special attention to obtain robust models (which is something that you should definitely explore 
).
You can already find their scores on the corresponding leaderboards AIcrowd | Music Demixing Track - MDX'23 | Leaderboards and AIcrowd | Music Demixing Track - MDX'23 | Leaderboards.
Kind regards
Stefan