cycle_gan_vc
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Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
Python and Toolkit Version
Python: '3.5.2'
numpy: '1.13.1'
tensorflow: '1.4'
Preprocess example script
Dataset: VCTK Example script: Gist link
Training
python3 gan_train.py
Inference
python3 gan_test.py
Hyperparameter
All hyperparameter tuning could be done in hyperparams.py.
Experiments and Samples
Currently done on VCTK dataset and can be found in results/
TODO
- [ ] Remove per-speaker information from Graph eg. f0, mcep_mean...
- [ ] Neater data preprocess