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@@ -98,10 +98,10 @@ pip install -e .
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  ```
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  3. Run Training:
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  ```bash
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- cd recipes/LJSpeech/TTS/vocoder/hifi_gan
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- python train.py hparams/train.yaml --data_folder /path/to/LJspeech
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  ```
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- You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/19sLwV7nAsnUuLkoTu5vafURA9Fo2WZgG?usp=sharing).
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  ### Limitations
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  The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
 
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  ```
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  3. Run Training:
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  ```bash
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+ cd recipes/LJSpeech/TTS/tacotron2/
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+ python train.py --device=cuda:0 --max_grad_norm=1.0 --data_folder=/your_folder/LJSpeech-1.1 hparams/train.yaml
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  ```
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+ You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1PKju-_Nal3DQqd-n0PsaHK-bVIOlbf26?usp=sharing).
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  ### Limitations
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  The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.