multichannel generalized Wiener filter question

[nnanos]

Is it possible to train the Open-Unmix with a different Front-End (e.g. different parameters of the STFT ) for each source and then on the evaluation phase use the multichannel generalized Wiener filter?? I dont know the mechanics of the multichannel generalized Wiener filter but by inspection of the evaluation.py code you CANT provide it with different separator.json files (one for each Front End) . Thus I think that If I want to train and evaluate OPen-Unmix with different FEs this can be done only if :

1)Play arround with the code in order for the evaluation.py to accept different separator.json files.
2)Obviously dont use the multichannel generalized Wiener filter step.

Thank you for your time.

[faroit]

Good question, the time-frequency resolutions have to be the same. For learnable front-ends I'm not sure if anyone has tried this yet.