Comments (4)
'data/RawNet_weights.h5' are used to extract speaker embeddings :).
But, since I have already uploaded extracted speaker embeddings from entire VoxCeleb1 dataset at 'data/speaker_embeddings_RawNet_4.8eer', you can directly use those embeddings!
'data/RawNet_weights.h5' was uploaded upon a request from a researcher who wanted to extract speaker embeddings not from the VoxCeleb1 dataset but another dataset.
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I'm planning on finetuning on VoxCeleb2 so I can't use your embeddings.
When I try using RawNet_weights.h5 with the CNN+GRU Rawnet model, it throws
ValueError: You are trying to load a weight file containing 33 layers into a model with 38 layers.
Just making sure the weights do correspond to the net defined in model_RawNet_pre_train.py
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Do you mean model_RawNet.py?
'model_RawNet_pre_train.py' refers to a CNN model which doesn't include GRU.
Can you try loading the weights one more time using 'model_RawNet.py' instead of 'model_RawNet_pre_train.py'?
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Sure my bad. Thank you!
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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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