Waveglow library
Project description
Waveglow library
This Waveglow library was changed to be used with vait library.
Instalation
1) Install waveglow library
(This will also install tacotron2 library)
pip install waveglow==22.12.28
2) Install CUDA 11.3 or 11.6
pip install -r requirements-cuda-11.3.txt
# or
pip install -r requirements-cuda-11.6.txt
3) Install apex
git clone https://github.com/NVIDIA/apex /home/${USER}/apex
cd /home/${USER}/apex
pip install -v --disable-pip-version-check --no-cache-dir ./
cd -
4) Download published model files
wget https://drive.google.com/open?id=1rpK8CzAAirq9sWZhe9nlfvxMF1dRgFbF
5) Download mel-spectrograms
wget https://drive.google.com/file/d/1g_VXK2lpP9J25dQFhQwx7doWl_p20fXA/view?usp=sharing
Usage: Creating audio
waveglow-inference -f <(ls mel_spectrograms/*.pt) -w waveglow_256channels_universal_v5.pt -o . --is_fp16 -s 0.6
Usage: Training
mkdir checkpoints
waveglow-train -c config.json
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