mirror of
https://github.com/modelscope/FunASR
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18 lines
775 B
Markdown
18 lines
775 B
Markdown
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# ResNet34 Result
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## Training Config
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- Feature info: using 80 dims fbank, no cmvn, speed perturb(0.9, 1.0, 1.1)
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- 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
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- Loss info: additive angular margin softmax, feature_scaling_factor=8, margin 0.25
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- Model info: ResNet34, global statistics pooling, Dense
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- Train config: conf/train_sv_resnet34.yaml
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- Model size: 5.60 M parameters
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## Results (EER & minDCF)
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- Test set: Alimeeting-test, CN-Celeb-eval-speech
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| testset | EER(%) | minDCF | Threshold |
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|:---------------------:|:-------:|:-------:| :--------:|
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| Alimeeting-test | 1.45 | 0.0849 | 0.9666 |
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| CN-Celeb-eval-speech | 9.00 | 0.2936 | 0.9465 | |