1) We have added the ability to log in to the site via social networks.
2) A new model for drums has been added, which is significantly superior to the old ones. This is an ensemble of HTDemucs and MelRoformer models. The model is available on the website under the name "MVSep Drums (drums, other)".
Below you can find metrics on MultiSong dataset:
HTDemucs (drums fintuned): 12.04
MelRoformer (drums): 12.76
HTDemucs + MelRoformer: 13.05
Also, these models were added to ensemble algorithms and there the metric is even higher: 13.15
The previous best metrics for drums were:
Model HT Demucs (original): 11.24
In ensemble: 11.99
Examples: https://mvsep.com/en/demo?algorithm_id=44
3) We have added new models Bandit v2 for Cinematic source separation. The models divide the track into 3 components “music”, “speech” and “effects/sfx”. The model was trained on the new multilingual dataset Divide and Remaster (DnR) v3.
Examples: https://mvsep.com/en/demo?algorithm_id=45
4) We have added a new model for dividing drums into component parts (DrumSep). This model was prepared by aufr33 and jarredou. It divides the drums into 6 parts: kick, snare, toms, hh, ride, crash. We do not yet have a test dataset to check the quality of such models, so it is difficult to say which of the two available models is better.
Examples: https://mvsep.com/en/demo?algorithm_id=37
5) We have added 2 new models to remove the reverb effect. The models are prepared by anvuew and are based on models with the MelRoformer and BSRoformer architecture. FoxJoy's previous model was based on the MDX-B architecture and removed reverb from the entire track. New models remove the reverb effect from vocals only. It is also difficult to say how well the new models work compared to the previous version.
