Closed Spectra456 closed 1 year ago
We support two types of ``checkpoints'' in our codes:
model_init
as /the/path/to/large/dataset/model
in your conf/xxx.yaml
model_init
parameter.For your 2nd question, I guess you have used speed perturb augmentation in your training (default is true). Different speed is regarded as new speakers because the pitch is changed, so the training spk_num would be 3 * #spk of your datasets.
Hi. How I can understand it's impossible to use a model which was trained on some larger dataset and then use it checkpoint to train on another small dataset, right? When I'm trying this, I'm getting error:
How I understand its output shape, but I don't understand, where these numbers are to come from (26685, 7548). My first guess was that, it's a number of speakers, but I don't have so many speakers in my datasets.