Comments (3)
rafaelvalle
commented on May 24, 2024
All looks good: in our default setup odd steps of flow attend to mels in the forward direction while even steps of flow attend to the mel in the backward direction. Keep training validation loss keeps decreasing!
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kurbobo
commented on May 24, 2024
and what is the reason for such rule? "odd steps of flow attend to mels in the forward direction while even steps of flow attend to the mel in the backward direction"?
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rafaelvalle
commented on May 24, 2024
In our experiments we found that inverting the direction at every flow step provides better likelihood and audio quality.
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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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