EER vs i-vector about 3d-convolutional-speaker-recognition HOT 4 CLOSED

You mentioned, "3D-convolutional-speaker-recognition with LDA". Everything else is exactly the same? What is the dataset? What is the input length?

from 3d-convolutional-speaker-recognition.

@SpongebBob Consider that our model is a novel architecture based on 3D CNNs. It is not necessarily better than the other methods. For further improvement, I suggest to train and end to end method.

from 3d-convolutional-speaker-recognition.

@astorfi Thanks for your replay. I use all the same settings in your code and paper. Without LDA, I get a 20.3% EER. And LDA gives me 3% EER boosting. There is two much gap between i-vector. I use the data and script in official kaldi examples: https://github.com/kaldi-asr/kaldi/tree/master/egs/aishell.
I also try another dataset. The gap between i-vector still exists.
The train softmax loss converged around 0.9 and accuracy around 90%.

from 3d-convolutional-speaker-recognition.

@SpongebBob I am not aware of Kaldi implementation. It's hard for me to tell the reason.

from 3d-convolutional-speaker-recognition.