waveglow

by npuichigo

npuichigo / waveglow

A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

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WaveGlow

A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

Quick Start:

  1. Install requirements:

    pip install -r requirements.txt
    
  2. Download dataset:

    wget http://festvox.org/cmu_arctic/cmu_arctic/packed/cmu_us_slt_arctic-0.95-release.tar.bz2
    tar xf cmu_us_slt_arctic-0.95-release.tar.bz2
    
  3. Extract features: feature extracting pipeline is the same as tacotron

  4. Training with default hyperparams:

    python train.py
    
  5. Synthesize from model:

    python generate.py --checkpoint=/path/to/model --local_condition_file=/path/to/local_conditon
    

Notes:

  • This is not official implementation, some details are not necessarily correct.
  • Work in progress.

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