Comments (1)
Jungjee
commented on May 30, 2024
Hi,
-
I meant the latter, fully trained on VoxCeleb2.
Actually, for the RawNet2 I didn't use pre-training that I've used in RawNet 1. -
There is no difference actually, it's just me doing some code refactoring for upload.
In other words, the former is refactored for others to train with it, and the latter is the code I ran for experiments. -
As I mentioned in 1., at this stage, I'm not sure when I'm going to upload the trained weights using the refactored code.
Hope this helps :)
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Related Issues (20)
- About the pretrained model HOT 2
- script generate embedding HOT 1
- The generalization abality 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
- Weights of RawNet2_modified trained on VoxCeleb2 HOT 3
- Misbehaving losses while training RawNet1 HOT 2
- Too long IO time HOT 2
- The link for Pre-trained weight parameters for Rawnet 3 is not available. HOT 2
- Overfitting on VoxCeleb HOT 2
- 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
- how to create the test_list for a new test dataset HOT 3
- how to use it for speaker verification HOT 6
- centre loss HOT 1
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