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Hi! When using enhancement.py with the pre-trained models from here: https://github.com/sp-uhh/sgmse?tab=readme-ov-file#pretrained-checkpoints, is it okay (recommended) to run with default parameters? Or do I need to set various parameters (like N, snr, t_eps, etc.) differently for each model?
I do see that the 2nd dereverberation model listed gives a recommended value for N, snr (--N 50 --snr 0.33) -- I just wasn't sure if there are similar recommendations for the rest of the models?
Thanks!
Ryan
The text was updated successfully, but these errors were encountered:
Hi! When using
enhancement.py
with the pre-trained models from here: https://github.com/sp-uhh/sgmse?tab=readme-ov-file#pretrained-checkpoints, is it okay (recommended) to run with default parameters? Or do I need to set various parameters (like N, snr, t_eps, etc.) differently for each model?I do see that the 2nd dereverberation model listed gives a recommended value for N, snr (
--N 50 --snr 0.33
) -- I just wasn't sure if there are similar recommendations for the rest of the models?Thanks!
Ryan
The text was updated successfully, but these errors were encountered: