toannhu / waveglow

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

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 offical implementation, some details are not necessarily correct.
• Work in progress.