VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
Convert text into natural-sounding speech using an improved single-stage model.
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vits2 has 642 stars on GitHub. It has been forked 73 times. vits2 is written mainly in Jupyter Notebook. It has been in active development since 2023. vits2 is available under the MIT license. Its main topics are deep-learning, pytorch, speech, speech-synthesis.
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
vits2 is an open-source project. It is released under the MIT license.
Yes. vits2 is free and open source — you can use, modify and self-host it.
vits2 is available under the MIT license.
vits2 is written mainly in Jupyter Notebook.
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