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Parallel WaveGAN fork for Mozilla TTS

This is a fork of the original implementation to sync with Mozilla TTS.

Models Dataset Commit Audio Sample Details
PWGAN LJSpeech fca88f9 soon... Trained with GT spectrograms
MelGAN LJSpeech [22018e6]((https://github.com/erogol/ParallelWaveGAN/tree/22018e6) ... Trained with GT spectrograms

Basic workflow

  • Create spectrograms using TTS based audio processing python python bin/preprocess_with_ap.py (this requires Mozilla TTS to be installed).
  • Setup the config file wrt audio processing parameters used in your TTS model.
  • Train the model.

Visit the original Repo for more information.

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ParallelWaveGAN adaptation for Mozilla TTS

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  • Python 47.2%
  • Shell 33.5%
  • Perl 13.6%
  • Jupyter Notebook 5.5%
  • Makefile 0.2%