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

Does it accept multi-modeling at once? #3

Open
MSAlghamdi opened this issue Jan 22, 2019 · 4 comments
Open

Does it accept multi-modeling at once? #3

MSAlghamdi opened this issue Jan 22, 2019 · 4 comments

Comments

@MSAlghamdi
Copy link

Hi Imran,

Thanks a lot for your nice work.

Are your version either the original one able to create more than one model or verify multiple audio samples at once?

For complicated reasons, I need to make many models for many different speakers and verify a bunch of audio samples at once.

@imranparuk
Copy link
Owner

Hmm, from what I understand I do think its possible, just run the inference code over all the audio samples you have. Unless I am miss-understanding you.

@imranparuk
Copy link
Owner

I didn't add any inference code. When I get time ill get round to doing it.

@MSAlghamdi
Copy link
Author

Let me ask again more clearly:

Is it a way to create many models "for different speakers (IDs)" and verify multiple audio samples "for different speakers too" at once (by putting samples for more than one speaker in one txt and audio files)?

@imranparuk
Copy link
Owner

I think for this implementation, what is required for you in an enrollment stage. However my implementation is just a simple one currently. I don't think ill ever set it up in the general speaker recognition format. Therefore you can check out the original authors implementation 3D-CNN, or you could change this code to a Siamese implementation which I feel is the best way.

Let me know if this helps

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