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Regarding ECAPA-TDNN implementation #86

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009deep opened this issue Dec 3, 2020 · 5 comments
Closed

Regarding ECAPA-TDNN implementation #86

009deep opened this issue Dec 3, 2020 · 5 comments

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@009deep
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009deep commented Dec 3, 2020

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.

@joonson
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joonson commented Dec 7, 2020

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.

ECAPA.zip

@009deep
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009deep commented Dec 7, 2020

thank you so much.

@009deep 009deep closed this as completed Dec 10, 2020
@lawlict
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lawlict commented Apr 19, 2021

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.

@Reptilefury
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is there an implementation using Tensorflow

@Jungjee
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Jungjee commented Jul 4, 2022

Hi @Reptilefury, at this moment, we are not considering the support of Tensorflow in this repository.

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