Bert-VITS2 provides a VITS2-based back- end with multilingual BERT features for TTS. It is Python-based, licensed AGPL-3.0, and has active development with recent pushes in 2026. The project has thousands of stars and a single open issue.
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What it is
Bert-VITS2 is a VITS2 backbone augmented with multilingual BERT features, aimed at TTS tasks. The repository is written in Python and distributed under AGPL-3.0.
How it works
The README mentions a quick guide via webui_preprocess.py, implying preprocessing and integration with a UI for inference. The project references a Bert-VITS2 backbone and multiple Chinese/Japanese specialized releases, indicating a workflow that combines BERT-based feature extraction with VITS2-style vocoder-based synthesis.
Getting started
Install/usage instructions are not fully provided in the excerpt. The README references a quick guide at webui_preprocess.py, which suggests users should consult that file for setup steps.
Recent releases
Latest releases cover Chinese and Japanese specialized versions, with notes such as:
- JP-Exta Extra：Japanese Specialized Version (2024-02-01): After seeing the success of the Chinese special version, we also trained the Japanese special version.
- Extra-v2 Extra-v2:中文特化修复版 (2024-01-25): 本次是在Extra：中文特化版上所作的一些小优化，模型完全兼容，可进行无缝迁移。
- Extra Extra:中文特化版本 (2024-01-04): 本次中文特化版本，使用国产IDEA-CCNL/Erlangshen-MegatronBert-1.3B大模型作为Bert特征提取，基本上完全解决了发音的bad case，同时在情感表达方面有大幅提升。 Additionally, v2.3 Final Release (2023-12-19), v2.2 Clap-Enhanced (2023-12-12) are documented with feature notes.
Traction
Stars: 8789, with forks: 1299 and open_issues: 1.
Behind the repo
No explicit linked startup or company profile is provided in the given facts beyond project affiliation with FishAudio and Fish-Speech.
Caveats
License is AGPL-3.0. The repository was created on 2023-07-29 and last pushed on 2026-08-03. Open issues count is 1. No other licensing or age caveats are listed in the provided material.