Skip to content
/ tacotron2 Public
forked from NVIDIA/tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Notifications You must be signed in to change notification settings

8tm/tacotron2

 
 

Repository files navigation

Tacotron2 library

This Tacotron2 library was changed to be used with vait library.

Original code, README.md and additional information:

https://github.com/NVIDIA/tacotron2

Instalation

1) Install tacotron2 library

(This will also install waveglow library)

pip install tacotron2==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/file/d/1c5ZTuT7J08wLUoVZ2KkUs_VdZuJ86ZqA/view?usp=sharing

Usage: Training

tacotron2-train --output_directory=outdir --log_directory=logdir
tacotron2-train --output_directory=outdir --log_directory=logdir -c tacotron2_statedict.pt --warm_start

About

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 80.3%
  • Python 18.6%
  • Other 1.1%