DiffGAN-TTS
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Convert text into high-quality speech using a model that employs advanced noise reduction techniques.
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Free · no card · unsubscribe anytimePyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
DiffGAN-TTS has 349 stars on GitHub. It has been forked 44 times. DiffGAN-TTS is written mainly in Python. It has been in active development since 2022. DiffGAN-TTS is available under the MIT license. Its main topics are ddpm, deep-neural-networks, diffgan-tts, diffspeech.
What is DiffGAN-TTS?
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Is DiffGAN-TTS open source?
DiffGAN-TTS is an open-source project. It is released under the MIT license.
Is DiffGAN-TTS free?
Yes. DiffGAN-TTS is free and open source — you can use, modify and self-host it.
What license does DiffGAN-TTS use?
DiffGAN-TTS is available under the MIT license.
What language is DiffGAN-TTS written in?
DiffGAN-TTS is written mainly in Python.
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