manojpamk/pytorch_xvectors

tdnn layers

Opened this issue · 1 comments

Hi,
First of all, very nice work.
well done.
I want to ask you about your xvector implementation.
I am not sure if I have a misunderstanding of how The Conv1D with dilation > 1 works.

Why did you use kernel_size=5 for the second and kernel_size=7 for the third TDNN layers?
I would use kernel_size=3 for both of them with the same dilation you used.

Thank you
Gerardo

Same question here. Looking forward to your answer.
Thank you!