Comments (1)
Hi, it's not easy for me to judge the extent of generalization.
I don't know how much difference AISHELL and VCTK datasets have.
However, normally, I would not expect EER to increase over 30%.
One example would be cross lingual experiments (train: English, test: Korean) which is not published.
In this case, EER was somewhere between 5~7%.
Hope this helps :)
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Related Issues (20)
- About the pretrained model HOT 2
- script generate embedding HOT 1
- How make embedding for single wave file? HOT 3
- The speaker embedding for the VoxCeleb1 was deleted HOT 1
- can you share code to load the pretrained model? HOT 1
- What is the requirement in terms of hardware? HOT 1
- Unable to train RawNet1 using Keras HOT 1
- trained model for RawNet2_modified and RawNet2 HOT 4
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- Misbehaving losses while training RawNet1 HOT 2
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- Error in PreEmphasis Class HOT 2
- how to evaluate your implementation with a different dataset HOT 1
- Can I feed the 22050 sr wav to the pre-trained rawnet3 model ? HOT 3
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