StyleTTS2
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
StyleTTS 2 reaches near-human quality using style diffusion and adversarial training, and can clone a voice from a few seconds of audio.
From the README
git clone https://github.com/yl4579/StyleTTS2.git cd StyleTTS2
- [x] Training and inference demo code for single-speaker models (LJSpeech)
- [x] Test training code for multi-speaker models (VCTK and LibriTTS)
- [x] Finish demo code for multispeaker model and upload pre-trained models
- [x] Add a finetuning script for new speakers with base pre-trained multispeaker models
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeStyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
StyleTTS2 has 6.3k stars on GitHub. It has been forked 701 times. StyleTTS2 is written mainly in Python. It has been in active development since 2023. StyleTTS2 is available under the MIT license. Its main topics are adversarial-training, deep-learning, diffusion-models, gan.
Read the full guideWhat is StyleTTS2?
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Is StyleTTS2 open source?
StyleTTS2 is an open-source project. It is released under the MIT license.
Is StyleTTS2 free?
Yes. StyleTTS2 is free and open source — you can use, modify and self-host it.
What license does StyleTTS2 use?
StyleTTS2 is available under the MIT license.
What language is StyleTTS2 written in?
StyleTTS2 is written mainly in Python.
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