GithubHelp home page GithubHelp logo

Comments (11)

csun22 avatar csun22 commented on July 2, 2024 1

Thank you all. The weight of the trained model has been uploaded to the readme with a Google Drive link.
https://drive.google.com/file/d/1TWdsCFKP2luAfhpB91N9X4z1gsJMvvhI/view?usp=drive_link
Please let me know if you have any questions.

from synthetic-voice-detection-vocoder-artifacts.

csun22 avatar csun22 commented on July 2, 2024

Hi Steven,
Do you mean our pre-train model?

from synthetic-voice-detection-vocoder-artifacts.

steven84418 avatar steven84418 commented on July 2, 2024

The model you used for the result

from synthetic-voice-detection-vocoder-artifacts.

csun22 avatar csun22 commented on July 2, 2024

Yes. There are two ways you can do it.
1.python eval.py --input_path /your/path/to/sample.wav --model_path /your/path/to/your_model.pth the eval.py file is provided.
2. https://zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/landing_page
using this platform to test out.

from synthetic-voice-detection-vocoder-artifacts.

Rizwanali324 avatar Rizwanali324 commented on July 2, 2024

can u upload weights here instead of on website as open source

from synthetic-voice-detection-vocoder-artifacts.

jreivilo avatar jreivilo commented on July 2, 2024

Hey

Would be great indeed to have the weight of the trained model in the repo :)

Thanks

from synthetic-voice-detection-vocoder-artifacts.

Rizwanali324 avatar Rizwanali324 commented on July 2, 2024

Thank you all. The weight of the trained model has been uploaded to the readme with a Google Drive link. https://drive.google.com/file/d/1TWdsCFKP2luAfhpB91N9X4z1gsJMvvhI/view?usp=drive_link Please let me know if you have any questions.

any instruction for to use it for custom as I'm working on project with this dataset

from synthetic-voice-detection-vocoder-artifacts.

Rizwanali324 avatar Rizwanali324 commented on July 2, 2024

Also, can you share other evaluation matrices?
we are trying to deploy it on real time so we need to know inference speed and percision

from synthetic-voice-detection-vocoder-artifacts.

SwenHou avatar SwenHou commented on July 2, 2024

Thank you all. The weight of the trained model has been uploaded to the readme with a Google Drive link. https://drive.google.com/file/d/1TWdsCFKP2luAfhpB91N9X4z1gsJMvvhI/view?usp=drive_link Please let me know if you have any questions.

any instruction for to use it for custom as I'm working on project with this dataset

To use the pretrained weight, you can run 'python eval.py --input_path /your/path/to/sample.wav --model_path /your/path/to/your_model.pth'

you can also check the code in eval.py to make any modifications according to your custom requirements

from synthetic-voice-detection-vocoder-artifacts.

SwenHou avatar SwenHou commented on July 2, 2024

Also, can you share other evaluation matrices? we are trying to deploy it on real time so we need to know inference speed and percision

You can check our paper for any evaluation metrices, the inference speed is fast enough for real time detection, inference time should be less than 1s for about 10s of speech, after loading the weight.

from synthetic-voice-detection-vocoder-artifacts.

Rizwanali324 avatar Rizwanali324 commented on July 2, 2024

Also, can you share other evaluation matrices? we are trying to deploy it on real time so we need to know inference speed and percision

You can check our paper for any evaluation metrices, the inference speed is fast enough for real time detection, inference time should be less than 1s for about 10s of speech, after loading the weight.

there's is no such matrix just reduce error rate

from synthetic-voice-detection-vocoder-artifacts.

Related Issues (9)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.