Comments (6)
zjFFFFFF
commented on May 24, 2024
1
Looks like an issue with the text encoder or token embedding. It's possible that you're loading pre-trained weights for a symbol set that is different from what you're for training.
But I didn't download any pre-trained weights.
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zjFFFFFF
commented on May 24, 2024
1
Make sure that the number of speakers in config.json matches the number of speakers in your dataset?
It helps a lot.Thank you very much!!!
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kevjshih
commented on May 24, 2024
Hi there, can you give the exact steps to reproduce your error?
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zjFFFFFF
commented on May 24, 2024
I just changed the sr from 22050 to 24000 in config.json. If I want to use libritts to train the model, what parameters do I need to change.
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rafaelvalle
commented on May 24, 2024
Looks like an issue with the text encoder or token embedding. It's possible that you're loading pre-trained weights for a symbol set that is different from what you're for training.
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rafaelvalle
commented on May 24, 2024
Make sure that the number of speakers in config.json matches the number of speakers in your dataset?
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Related Issues (20)
- Inference starting repeat itself. HOT 5
- List index out of range
- Request for clarification on some of the readme scripts. HOT 8
- Custom model resumed from pre-trained model has a stuttering problem.
- How would one keep the model loaded for immediate synthesis? HOT 17
- Inference on pre-trained model (flowtron_ljs) speaking nonsense. HOT 4
- Inference Demo "Hitting gate limit" HOT 2
- .
- inference speed on CPU
- Accelerated inference with TensorRT HOT 2
- Single word input leads to ValueError: Expected more than 1 spatial element when training, got input size torch.Size([1, 512, 1]) HOT 1
- Error on loading training model "_pickle.UnpicklingError: invalid load key, '<'"
- Custom trained model and dataset problem
- Index out of range for custom dataset.
- value error while training custom dataset
- TypeError: guvectorize() missing 1 required positional argument 'signature' HOT 1
- _pickle.UnpicklingError: invalid load key, '<'. in inference.py in colab HOT 3
- What's the filelist used to train LibriTTS2k pretrained embedding?
- Unable to train on custom data with multiple speakers HOT 6
- Which torch version to use?
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