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VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets

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Could you please explain how trial lists are created? what is the strategy behind it? @a-nagrani

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Hi, I have tried to export both the VGG-M and the Resnet-50 models for verification to Keras. In the first case, everything worked well, and the architecture proposed in the...

Hi, correct me if I'm wrong but you trained VGGVox on VoxCeleb2 as Classification, right ? If so, what kind of Loss and Acc did you get ? for training...

![image](https://user-images.githubusercontent.com/10692992/69870987-b0c9c980-1305-11ea-85f7-d87248544eda.png) what‘s the meaning of the third to fifth rows?

the repo does not contain the training code with `VggVox` architecture.

In the paper, the dimension of the final embedding is mentioned as 512, and in the code, the final computed embedding dimension is 128, but in the provided code 2048...

Hi, I am curious about the proportion in the verification dataset. How many the positive (same speaker) pair in the dataset compared to the negative (different speaker) pair???? Thanks,