Two new algorithms have been added to for separate tracks: MDX A and MDX B. These models were created by the participants in the Music Demuxing Challenge who took second place. Their solution code and neural network models were made publicly available. We are still waiting for the first place solution. But even these models significantly outperform Spleeter and UmxXL in competition metrics (see the table below), but slower in speed. MDX A differs from MDX B in that the first algorithm did not use external data for training, so the results are slightly worse than MDX B.
The values ​​in the table are calculated on private competition dataset (available only to organizers). The higher the value, the better the algorithm works.