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@ -12,4 +12,26 @@ This recipe provides a VITS model trained on the VCTK dataset.
Pretrained model can be found [here](https://huggingface.co/zrjin/icefall-tts-vctk-vits-2023-12-05), note that this model was pretrained on the Edinburgh DataShare VCTK dataset.
For tutorial and more details, please refer to the [VITS documentation](https://k2-fsa.github.io/icefall/recipes/TTS/vctk/vits.html).
For tutorial and more details, please refer to the [VITS documentation](https://k2-fsa.github.io/icefall/recipes/TTS/vctk/vits.html).
The training command is given below:
```
export CUDA_VISIBLE_DEVICES="0,1,2,3"
./vits/train.py \
--world-size 4 \
--num-epochs 1000 \
--start-epoch 1 \
--use-fp16 1 \
--exp-dir vits/exp \
--tokens data/tokens.txt
--max-duration 350
```
To inference, use:
```
./vits/infer.py \
--epoch 1000 \
--exp-dir vits/exp \
--tokens data/tokens.txt \
--max-duration 500
```