VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Convert written text into natural-sounding speech using a modern text-to-speech system.
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vits has 7.9k stars on GitHub. It has been forked 1.4k times. vits is written mainly in Python. It has been in active development since 2021. vits is available under the MIT license. Its main topics are deep-learning, pytorch, speech-synthesis, text-to-speech.
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vits is an open-source project. It is released under the MIT license.
Yes. vits is free and open source — you can use, modify and self-host it.
vits is available under the MIT license.
vits is written mainly in Python.
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