@@ -19,6 +19,8 @@ SV2TTS is a three-stage deep learning framework that allows to create a numerica
|[1710.10467](https://arxiv.org/pdf/1710.10467.pdf) | GE2E (encoder)| Generalized End-To-End Loss for Speaker Verification | This repo |
## News
**13/11/19**: I'm sorry that I can't maintain this repo as much as I wish I could. I'm working full time on improving voice cloning techniques at Resemble.AI and I don't have the time to share my improvements here. Plus this implementation relies on a lot of old tensorflow code and it's hard to work with. If you're a researcher, then this repo might be of use to you. **If you just want quick results**, do check our demo on [Resemble.AI](https://www.resemble.ai/) - it can run for free but it will be a bit slower.
**20/08/19:** I'm working on [resemblyzer](https://github.com/resemble-ai/Resemblyzer), an independent package for the voice encoder. You can use your trained encoder models from this repo with it.
**06/07/19:** Need to run within a docker container on a remote server? See [here](https://sean.lane.sh/posts/2019/07/Running-the-Real-Time-Voice-Cloning-project-in-Docker/).
