Keith-Hon / vits-cantonese

Cantonese Text to Speech with VITS implementation

Demo outputs:

1. 我愛你

audio.mp4

Instructions

1. Create a virtual environment python -m venv ./venv

2. open demo.ipynb and install the dependencies

3. move files to opencc lib after installing opencc

   1. mv ./opencc/jyutjyu.json ./venv/lib/site-packages/opencc/clib/share/opencc/jyutjyu.json
   2. mv ./opencc/jyutjyu.ocd2 ./venv/lib/site-packages/opencc/clib/share/opencc/jyutjyu.ocd2

4. build cpython codes cd vits/monotonic_align python setup.py build_ext --inplace

5. download models

   1. https://huggingface.co/xiaomaiiwn/vits-cantonese/blob/main/model/G.pth

Acknowledgement

I do not own the models and you should follow the license of the models.