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resnet34
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README.md

ResNet34 Result

Training Config

  • Feature info: using 80 dims fbank, no cmvn, speed perturb(0.9, 1.0, 1.1)
  • Train info: lr 1e-4, batch_size 64, 1 gpu(Tesla V100), acc_grad 1, 300000 steps, clip_gradient_norm 3.0, weight_l2_regularizer 0.01
  • Loss info: additive angular margin softmax, feature_scaling_factor=8, margin 0.25
  • Model info: ResNet34, global statistics pooling, Dense
  • Train config: conf/train_sv_resnet34.yaml
  • Model size: 5.60 M parameters

Results (EER & minDCF)

  • Test set: Alimeeting-test, CN-Celeb-eval-speech
testset EER(%) minDCF Threshold
Alimeeting-test 1.45 0.0849 0.9666
CN-Celeb-eval-speech 9.00 0.2936 0.9465