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Update README.md
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@ -13,4 +13,24 @@ The above information is from the [LJSpeech website](https://keithito.com/LJ-Spe
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This recipe provides a VITS model trained on the LJSpeech dataset.
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Pretrained model can be found [here](https://huggingface.co/Zengwei/icefall-tts-ljspeech-vits-2023-11-29).
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Pretrained model can be found [here](https://huggingface.co/Zengwei/icefall-tts-ljspeech-vits-2024-02-28).
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The training command is given below:
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```
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export CUDA_VISIBLE_DEVICES=0,1,2,3
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./vits/train.py \
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--world-size 4 \
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--num-epochs 1000 \
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--start-epoch 1 \
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--use-fp16 1 \
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--exp-dir vits/exp \
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--max-duration 500
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```
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To inference, use:
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```
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./vits/infer.py \
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--exp-dir vits/exp \
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--epoch 1000 \
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--tokens data/tokens.txt
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```
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