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follow NVIDIA, simplify it and support data parallel.

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data

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results

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waveglow

waveglow

 
 

README.md

README.md

 
 

data_utils.py

data_utils.py

 
 

glow.py

glow.py

 
 

hparams.py

hparams.py

 
 

inference.py

inference.py

 
 

layers.py

layers.py

 
 

loss_function.py

loss_function.py

 
 

network.py

network.py

 
 

preprocess.py

preprocess.py

 
 

train.py

train.py

 
 

utils.py

utils.py

 
 

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Tacotron2-Pytorch

Support DataParallel

Training

  1. Put LJSpeech dataset in data
  2. Run python preprocess.py
  3. modify hyperparameters in hparams.py
  4. Run python train.py

Inference

  1. Put Nvidia pretrained waveglow model in waveglow/pre_trained_model
  2. Run python inference.py

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follow NVIDIA, simplify it and support data parallel.

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