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.
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.