Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
Generate high-quality speech from text using a vocoder model.
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Free · no card · unsubscribe anytimeImplementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
WaveGrad has 409 stars on GitHub. It has been forked 52 times. WaveGrad is written mainly in Jupyter Notebook. It has been in active development since 2020. WaveGrad is available under the BSD-3-Clause license. Its main topics are diffusion-models, ljspeech, probabilistic-models, speech.
Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
WaveGrad is an open-source project. It is released under the BSD-3-Clause license.
Yes. WaveGrad is free and open source — you can use, modify and self-host it.
WaveGrad is available under the BSD-3-Clause license.
WaveGrad is written mainly in Jupyter Notebook.
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