Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Question about extra parameters to enhancement.py when using pre-Trained checkpoints #62

Open
RyanMetcalfeInt8 opened this issue Dec 3, 2024 · 1 comment

Comments

@RyanMetcalfeInt8
Copy link

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

@Huanianss
Copy link

May I ask how you are running the results metrics?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants