I was wondering, maybe if instead of that, there was another way to generate the required pkl model
after the successful compute_features, for the dsd100 separation?
I am just trying to avoid the trainCNN problem, since no one has a fix for my problem, yet.
If not, I will just wait until someone figures out my initial problem.
Since I am still having trouble with my issue here: https://github.com/MTG/DeepConvSep/issues/1
I was wondering, maybe if instead of that, there was another way to generate the required pkl model after the successful compute_features, for the dsd100 separation?
I am just trying to avoid the trainCNN problem, since no one has a fix for my problem, yet. If not, I will just wait until someone figures out my initial problem.
thanks!