GitHub - hrnoh/f0-autovc: Pytorch implementation of "f0-consistent many-to-many non-parallel voice conversion via conditional autoencoder"

F0-AUTOVC: F0-Consistent Many-to-Many Non-Parallel Voice Conversion via Conditional Autoencoder

This repository provides a PyTorch implementation of the paper F0-AUTOVC.

Based on

Prepare dataset
we used the VCTK dataset as used in original paper.
But, you can use your own dataset.
Prepare the speaker to gender file as shown in nikl_spk.txt and run make_spk2gen.py
- Format
  speaker1 gender1
  speaker2 gender2
- Example:
  p225 W
  p226 M
  p301 W
  p302 W
  .
  .
Preprocess data using preprocess.py
Run task_launcher.py

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
architectures		architectures
assets		assets
data/VCTK		data/VCTK
datasets		datasets
solver		solver
.gitignore		.gitignore
README.md		README.md
conversion.py		conversion.py
data_utils.py		data_utils.py
hparams.py		hparams.py
logger.py		logger.py
make_spk2gen.py		make_spk2gen.py
nikl_spk.txt		nikl_spk.txt
plotting_utils.py		plotting_utils.py
preprocess.py		preprocess.py
task_launcher.py		task_launcher.py
utils.py		utils.py