Train and Embedding from Speaker Recognition and Verification
Hello guys, I have two question.
First, I had a "small" dataset, around 20 hours for some tests.  I successfully trained this dataset but I had some doubts about this train, if I train correctly or not. So, do you give an advice about the train in general? Like how much hours I need to train, an order to do the train, any recommendation if possible.

Second, I tested some audios with voxceleb_eval.py in two moments, with a unique embedding and with two different embedding (that sounds a good ideia for a test),  and I got good results, but I need to do it if audios that won't be in train or test dataset. Like a test in transcritor, I trained a large dataset but when I will test the train, I put an audio that won't be in the train. Is that possible? What I need to do?