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Eren Gölge 1c3623af33 Fix model manager (#1436 )

* Fix manager

* Make style

2022-03-23 12:57:14 +01:00

..

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Make style (#1405 )

2022-03-16 12:13:55 +01:00

multiband_melgan

Make style (#1405 )

2022-03-16 12:13:55 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Make style (#1405 )

2022-03-16 12:13:55 +01:00

Fix model manager (#1436 )

2022-03-23 12:57:14 +01:00

Make style

2022-02-25 11:26:59 +01:00

Make style

2022-02-25 11:26:59 +01:00

download_ljspeech.sh

Update ljspeech download

2022-02-25 11:12:44 +01:00

README.md

Create LJSpeech recipes for all the models

2021-06-22 16:21:11 +02:00

README.md

🐸💬 TTS LJspeech Recipes

For running the recipes

Download the LJSpeech dataset here either manually from its official website or using download_ljspeech.sh.
Go to your desired model folder and run the training.

Running Python files. (Choose the desired GPU ID for your run and set CUDA_VISIBLE_DEVICES)
```
CUDA_VISIBLE_DEVICES="0" python train_modelX.py
```
Running bash scripts.
```
bash run.sh
```

💡 Note that these runs are just templates to help you start training your first model. They are not optimized for the best result. Double-check the configurations and feel free to share your experiments to find better parameters together 💪.