Amantur Amatov
Amantur Amatov
Hi! There are actually some of the augmentations with mixing different sources and deleting sources. Augmentations are defined here: https://github.com/amanteur/BandSplitRNN-PyTorch/blob/f3375dc7c99633fd4756f2376a130e80c7b805f8/src/data/dataset.py#L153
Hi! Did you try to train the model from this repository? Also, i did not add the part with augmentations, but it may probably increase the quality.
Also, authors of the paper stated that size of the small model was 10.08M parameters, while this implementation has ~9.46M parameters. I still think that the model is implemented correctly,...
Hey! Sorry for such a delayed response. I was really busy with my work, so I didn't have time to check on the repository and train a new model. @mapperize...
@starrytong yeah, I've just started to experiment with kernel sizes in SD layer:D Thank you for your work and repo!
Hi, I'll do it!