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A Pytorch implementations of DNF for author's article "Deep normalization for speaker vectors"

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DNF

A Pytorch implementations of DNF

The neural network structure is based on "Masked Autoregressive Flow", and the source code from ikostrikov

Datasets

trainingset:Voxceleb 
testset: SITW, CNCeleb

Following this link to download the dataset (extraction code:8xwe)

Run DNF

python train.py

The evaluation and scoring will be performed automatically during the training process.

Other instructions

score.py is a python implementations of the standard kaldi consine scoring, you can also use kaldi to do the plda scoring
tsne.py can be used to draw the distribution of latent space 

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A Pytorch implementations of DNF for author's article "Deep normalization for speaker vectors"

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