Created 01/29/2020 at 11:28AM

The Implementation of FastSpeech Based on Pytorch.

Update

  1. Fix bugs in alignment;
  2. Fix bugs in transformer;
  3. Fix bugs in LengthRegulator;
  4. Change the way to process audio;
  5. Use waveglow to synthesize.

Model

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Start

Dependencies

Prepare Dataset

  1. Download and extract LJSpeech dataset.
  2. Put LJSpeech dataset in data.
  3. Put Nvidia pretrained Tacotron2 model in the Tacotron2/pretrained_model;
  4. Put Nvidia pretrained waveglow model in the waveglow/pretrained_model;
  5. Run python preprocess.py.

Training

Run python train.py.

Test

Run python synthesis.py.

Pretrained Model

Notes

Reference