Advice on prepping datasets other than LJspeech? about forwardtacotron HOT 4 CLOSED

Hey, just prepare your dataset in the LJSpeech format:

|- dataset_folder/
|   |- metadata.csv
|   |- wav/
|       |- file1.wav
|       |- ...

If the language differs from English, make sure you set the correct language in the hparams.py file:

language = 'fr'
tts_cleaner_name = 'basic_cleaners'

Then just follow the steps from the README with preprocessing the folder, everything should be done automatically including splitting of the dataset into train/val etc.

I updated the README to be clearer on this. Best of luck!

from forwardtacotron.

Thanks for your help! I'm looking forward to giving it a try.

from forwardtacotron.

Where find list is supported languages?

from forwardtacotron.

@paklau99988 you can find the list of languages from here

from forwardtacotron.