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Unofficial implementation of "Fre-GAN: Adversarial Frequency-consistent Audio Synthesis" paper.

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Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

The repository contains my unofficial implementation of vocoder model Fre-GAN.

Running the model

  • To run code in Google Colab, open fregan_experiments.ipynb, run the first cell to clone the repository and then follow the instructions to get data.
  • As steps, you will need, first preprocess
python preprocess.py
  • Then you can easily train
python train.py -n name --training_epochs 3000
  • And of course, evaluation step, before that you need to put your .wav file into /test directory
python inference.py -p ./fg_model/test/fg-3000.pt

Google Colab: Open In Colab


References

In my implementation there may be constructions from implementations:

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Unofficial implementation of "Fre-GAN: Adversarial Frequency-consistent Audio Synthesis" paper.

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