rotten-work / vits-mandarin-windows
VITS for Mandarin. Support Windows and Linux, low-end and high-end hardwares
☆110Updated last year
Alternatives and similar repositories for vits-mandarin-windows:
Users that are interested in vits-mandarin-windows are comparing it to the libraries listed below
- 语音合成项目☆163Updated 2 years ago
- application of vits on mandarin tts☆122Updated last year
- 一个快速制作语音数据集的可视化工具☆193Updated 11 months ago
- vits chinese, tts chinese, tts mandarin 史上训练最简单,音质最好的语音合成系统☆211Updated 3 years ago
- Vits Japanese with Whisper as data processor (you can train your VITS even you only have audios)☆160Updated last year
- vits2 backbone with bert☆336Updated 10 months ago
- Simple data labeling script with funasr inside. 使用阿里fanasr进行VITS训练数据标注☆77Updated last year
- VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech☆166Updated last year
- ☆388Updated last year
- Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform☆48Updated 2 years ago
- 基于PyTorch的VITS-BigVGAN的tts中文模型,加入韵律预测模型。☆194Updated 2 years ago
- async http process VST plugin☆162Updated last year
- SubFix: Efficient Web-Based Audio Subtitle Editing and Multilingual Automatic Annotation Tool.☆199Updated last year
- vits2 backbone with bert☆84Updated last year
- 一个使用OpenAI接口链接VITS模型的语音对话系统GUI☆103Updated 2 years ago
- 数据集自动化制作脚本☆71Updated last year
- 语音数据集制作标记工具☆133Updated 2 years ago
- An auxiliary tool for manual screening of audio dataset.☆120Updated last year
- BertVITS2前端界面☆292Updated last year
- A voiceprint recognition classifier for audio dataset☆97Updated last year
- 🌻 VITS ONNX TTS server designed for fast inference 🔥☆124Updated 2 weeks ago
- An unofficial implementation of the combination of Soft-VC and VITS☆459Updated 2 years ago
- ☆373Updated 2 years ago
- Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform☆434Updated 2 years ago
- Split audio using the .srt file, clean up annotations, then merge and package into a format suitable for bert-vits2 in a standard manner.…☆45Updated 8 months ago
- How to use our public wav2vec2 dimensional emotion model☆480Updated last year
- StarRail Datasets For SVC/SVS/TTS☆295Updated 3 weeks ago
- VITS implementation of Japanese, Chinese, Korean, Sanskrit and Thai☆922Updated last year
- Fine-Tuning your VITS model using a pre-trained model☆552Updated last year
- Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!☆1,178Updated last year