HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Overview

HiFiGAN Denoiser

This is a Unofficial Pytorch implementation of the paper HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks.

Citations

@misc{su2020hifigan,
      title={HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks}, 
      author={Jiaqi Su and Zeyu Jin and Adam Finkelstein},
      year={2020},
      eprint={2006.05694},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}

Requirement

Tested on Python 3.6

pip install -r requirements.txt

Train & Tensorboard

  • python train.py -c [config yaml file]

  • tensorboard --logdir log_dir

Inference

  • python inference.py -p [checkpoint path] -i [input wav path]

Checkpoint :

  • WIP

References

Owner
Rishikesh (ऋषिकेश)
Deep Learning/ AI Researcher | Open Source enthusiast | Text to Speech | Speech Synthesis | Generative Models | Object detection | Language Understanding
Rishikesh (ऋषिकेश)
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