Medix-AI/coqui-tts
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coqui-tts/recipes/ljspeech
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Eren Gölge 49bac724c0
Implement VitsAudioConfig (#1556) 
* Implement VitsAudioConfig

* Update VITS LJSpeech recipe

* Update VITS VCTK recipe

* Make style

* Add missing decorator

* Add missing param

* Make style

* Update recipes

* Fix test

* Bug fix

* Exclude tests folder

* Make linter

* Make style
 		2022-07-12 18:49:58 +02:00
..
align_tts Fix model manager (#1436) 2022-03-23 12:57:14 +01:00
fast_pitch Implement VitsAudioConfig (#1556) 2022-07-12 18:49:58 +02:00
fast_speech Implement VitsAudioConfig (#1556) 2022-07-12 18:49:58 +02:00
glow_tts Fix model manager (#1436) 2022-03-23 12:57:14 +01:00
hifigan Make style (#1405) 2022-03-16 12:13:55 +01:00
multiband_melgan Make style (#1405) 2022-03-16 12:13:55 +01:00
speedy_speech Implement VitsAudioConfig (#1556) 2022-07-12 18:49:58 +02:00
tacotron2-Capacitron Implement VitsAudioConfig (#1556) 2022-07-12 18:49:58 +02:00
tacotron2-DCA Fix model manager (#1436) 2022-03-23 12:57:14 +01:00
tacotron2-DDC Fix model manager (#1436) 2022-03-23 12:57:14 +01:00
univnet Make style (#1405) 2022-03-16 12:13:55 +01:00
vits_tts Implement VitsAudioConfig (#1556) 2022-07-12 18:49:58 +02:00
wavegrad Make style 2022-02-25 11:26:59 +01:00
wavernn Make style 2022-02-25 11:26:59 +01:00
README.md Create LJSpeech recipes for all the models 2021-06-22 16:21:11 +02:00
download_ljspeech.sh Update ljspeech download 2022-02-25 11:12:44 +01:00

README.md

🐸💬 TTS LJspeech Recipes

For running the recipes

  1. Download the LJSpeech dataset here either manually from its official website or using download_ljspeech.sh.

  2. 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 💪.