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Wendison / VQMIVC

Official implementation of VQMIVC: One-shot (any-to-any) Voice Conversion @ Interspeech 2021 + Online playing demo!
MIT License
337 stars 55 forks source link

Add Docker environment & web demo #10

Closed ericguizzo closed 3 years ago

ericguizzo commented 3 years ago

Hey @Wendison! 👋

I really liked your implementation and it works very well with any kind of voice! Really funny :)

This pull request makes it possible to run your model inside a Docker environment, which makes it easier for other people to run it. We're using an open source tool called Cog to make this process easier.

This also means we can make a web page where other people can try out your model! View it here: https://replicate.ai/wendison/vqmivc

Claim your page here so you can edit it, and we'll feature it on our website and tweet about it too.

In case you're wondering who I am, I'm from Replicate, where we're trying to make machine learning reproducible. We got frustrated that we couldn't run all the really interesting ML work being done. So, we're going round implementing models we like. 😊

Wendison commented 3 years ago

Thanks for your work! Do you mind if I mention your work in README?

ericguizzo commented 3 years ago

Hi Wendison, thanks for merging it!! Sure! It would be great if you mention the replicate demo also in the README :)

Wendison commented 3 years ago

Hi @ericguizzo , I have added your work and replicate demo in README. Besides, may I know if you could add some details on how to use Cog for development (including installation, model training & testing, etc.), that would be very helpful for others! Thank you!

andreasjansson commented 3 years ago

Hi @Wendison! I just sent you an email with a beta invite to Replicate. There's documentation about how and why Cog works on the Replicate home page (https://replicate.ai/home), and more detailed Cog documentation here: https://github.com/replicate/cog

Feel free to ask us questions any time in Discord! https://discord.gg/QmzJApGjyE