HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Generate high-quality speech audio using a pre-trained model without needing deep technical knowledge.
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hifi-gan has 2.4k stars on GitHub. It has been forked 556 times. hifi-gan is written mainly in Python. It has been in active development since 2020. hifi-gan is available under the MIT license. Its main topics are deep-learning, gan, hifi-gan, pytorch.
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
hifi-gan is an open-source project. It is released under the MIT license.
Yes. hifi-gan is free and open source — you can use, modify and self-host it.
hifi-gan is available under the MIT license.
hifi-gan is written mainly in Python.
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