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

any advantages to using a custom DDSP model for processes 4.0 / 5.0? #112

Open
markhanslip opened this issue Feb 29, 2024 · 1 comment
Open

Comments

@markhanslip
Copy link

markhanslip commented Feb 29, 2024

Thanks for the great work, is super impressive and useful.

I was wondering if there would be a likely improvement in results if the DDSP model is trained on the same data as the diffusion vocoder in versions 4.0 / 5.0? Or would it be a waste of effort?

@yxlllc
Copy link
Owner

yxlllc commented Mar 1, 2024

Do you mean making a pre-trained model? It is of little significance for the pure ddsp model. Unlike diffusion models, DDSP models have relatively limited capabilities and cannot be scaled up effectively.

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