Comments (4)
rafaelvalle
commented on June 4, 2024
Add a period to the end of your sentence.
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adrianastan
commented on June 4, 2024
Tried that right after running the first inference, same result:
https://drive.google.com/file/d/1MHpx4GZpz8A8slnYNoQ8bJmka4Qq8BGf/view?usp=sharing
Slightly different sounds, but still not intelligible.
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rafaelvalle
commented on June 4, 2024
Pull from master and run the code below.
python inference.py -c config.json -p model_config.n_speakers=1 data_config.p_arpabet=1.0 -f models/flowtron_ljs.pt -w models/waveglow_256channels_universal_v4.pt -t "Hey. Hello there." -o output_synth/ -i 0 -s 0.5 -g 0.7
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adrianastan
commented on June 4, 2024
Great, that worked! Thank you very much.
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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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