Comments (3)
rafaelvalle
commented on May 27, 2024
Pull from master to make sure you have the modifications that updates the gate threshold.
How much data did you train on, what is the text you're trying to synthesize and can you share the audio sample?
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tunnermann
commented on May 27, 2024
Thanks for your response. I got the latest version from masters. I think maybe I just need to train more, I was just puzzled with the difference between my inference results and the tensorboard images.
Anyway, I trained with three voices, 20 hours in one, 10 hours in each of the other two. My lastest attempt was to train with only the two 10 hours voices. Here is a sample for the text "minha terra tem palmeiras onde canta o sabiá.":
Do you think training with a bigger dataset, with more voices, may help or should I get this voices working first?
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rafaelvalle
commented on May 27, 2024
Did you train with or without arpabet? Can you share your training and validation loss curves?
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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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