History

Tsai Meng-Ting 9d32cbc3db Fix type in download_vctk.sh (#1739 ) typo in comment		2022-07-20 12:27:42 +02:00
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blizzard2013	feat: updated recipes and lr fix (#1718 )	2022-07-12 15:00:53 +02:00
kokoro/tacotron2-DDC	rename to	2021-06-22 16:21:10 +02:00
ljspeech	Implement VitsAudioConfig (#1556 )	2022-07-12 18:49:58 +02:00
multilingual/vits_tts	Implement VitsAudioConfig (#1556 )	2022-07-12 18:49:58 +02:00
thorsten_DE	Implement VitsAudioConfig (#1556 )	2022-07-12 18:49:58 +02:00
vctk	Fix type in download_vctk.sh (#1739 )	2022-07-20 12:27:42 +02:00
README.md	Update recipes README.md	2022-02-25 11:16:30 +01:00

README.md

🐸💬 TTS Training Recipes

TTS recipes intended to host scripts running all the necessary steps to train a TTS model on a particular dataset.

For each dataset, you need to download the dataset once. Then you run the training for the model you want.

Run each script from the root TTS folder as follows.

$ sh ./recipes/<dataset>/download_<dataset>.sh
$ python recipes/<dataset>/<model_name>/train.py

For some datasets you might need to resample the audio files. For example, VCTK dataset can be resampled to 22050Hz as follows.

python TTS/bin/resample.py --input_dir recipes/vctk/VCTK/wav48_silence_trimmed --output_sr 22050 --output_dir recipes/vctk/VCTK/wav48_silence_trimmed --n_jobs 8 --file_ext flac

If you train a new model using TTS, feel free to share your training to expand the list of recipes.

You can also open a new discussion and share your progress with the 🐸 community.