NU-Wave
A Diffusion Probabilistic Model for Neural Audio Upsampling
For Official repo of NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling visit here.
Training :
python3 train.py chkpt_dir --max_steps 1000000
Inference :
python3 inference.py weights-chkpt.pt low_resolution_22k.wav -o "output.wav"
Citation :
@misc{lee2021nuwave,
title={NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling},
author={Junhyeok Lee and Seungu Han},
year={2021},
eprint={2104.02321},
archivePrefix={arXiv},
primaryClass={eess.AS}
}
References :
- Official NU-Wave implementation.
- J.Ho's official DDPM implementation.
- ivanvok's WaveGrad pytorch implementation.
- lmnt-com's DiffWave pytorch implementation.
- lmnt-com's WaveGrad pytorch implementation.
