kefirski / pytorch_tdnn Goto Github PK

excuse me,I have a question.
kernels = [(1, 25), (2, 50), (3, 75), (4, 100), (5, 125), (6, 150)]

what are the(1,25),(2,50)....... mean?
for example,I have a speech dateset which has 10000 frames * 2576 features.
2576 fratures per frame.Input is 1*2576.
I want to implement speech separation by tdnn,batch_size is 200,target is IRM(1 * 161).
what is "kernels = [(1, 25), (2, 50), (3, 75), (4, 100), (5, 125), (6, 150)] "mean?
And what can I get if I use it as my hidden layer?
Thank you very much,I need help to complete my graduation project.And My english is poor, please forgive me.I appreciate your reply.Thanks a lot.