Closed 009deep closed 3 years ago
Hi, here is our implementation of the network. Let me know if it works -- I might merge this into the repository in a future update.
thank you so much.
Hi, @joonson. I find that the ECAPA_TDNN model runs slow. When I set the bias of Conv1d in Line 46 to False
, it works normally:
for i in range(self.nums):
convs.append(nn.Conv1d(width, width, kernel_size=kernel_size, dilation=dilation, padding=num_pad, bias=False))
bns.append(nn.BatchNorm1d(width))
Do you meet the same problem? I'm just confused by the phenomenon.
is there an implementation using Tensorflow
Hi @Reptilefury, at this moment, we are not considering the support of Tensorflow in this repository.
Hi @joonson, In you your voxsrc 20 summary paper, you have mentioned you implemented ECAPA-TDNN network with help of Brecht. Could you provide that network implementation details? It's hard to understand from paper.