You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have datasets which are arranged in the format of the LJ Speech dataset.
Let's take an example of dataset names: "Dhoni", "Virat", "shewag" which have the audio clips of the corresponding person and can we train a single model on all the datasets or should we train every single model for every dataset.
Does tacotron2 support this type of training.
The text was updated successfully, but these errors were encountered:
Hello @cobr123 @sih4sing5hong5 @taras-sereda
I have datasets which are arranged in the format of the LJ Speech dataset.
Let's take an example of dataset names: "Dhoni", "Virat", "shewag" which have the audio clips of the corresponding person and can we train a single model on all the datasets or should we train every single model for every dataset.
Does tacotron2 support this type of training.
The text was updated successfully, but these errors were encountered: