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nateraw/nu-wave-x2
nu-wave-x2 is a audio-to-audio model from nateraw. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for pytorch-lightning. The card lists the license as bsd-3-clause.
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
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Updated Jun 8, 2022
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From the Hugging Face model README
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
This model was trained by contributor Frederico S. Oliveira, who graciously provided the checkpoint in the original author's GitHub repo.
This model was trained using source code written by Junhyeok Lee and Seungu Han under the BSD 3.0 License. All credit goes to them for this work.
This model takes in audio at 24kHz and upsamples it to 48kHz.
You can try out this model here:
Provide examples of latent issues and potential remediations.
Describe the data you used to train the model. If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data.
Preprocessing, hardware used, hyperparameters...
You can check out the authors' results at their project page. The project page contains many samples of upsampled audio from the authors' models.
@inproceedings{lee21nuwave,
author={Junhyeok Lee and Seungu Han},
title={{NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling}},
year=2021,
booktitle={Proc. Interspeech 2021},
pages={1634--1638},
doi={10.21437/Interspeech.2021-36}
}