woongzip1 / universr-audio

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Model's Last Updated: March 18 2026

Introduction of universr-audio

Model Details of universr-audio

UniverSR - General Audio (Flagship)

Vocoder-free audio super-resolution model that upsamples 8/12/16/24 kHz → 48 kHz audio using flow matching in the complex STFT domain. Trained on speech, music, and sound effects.

This is the recommended model for general use. For speech-only evaluation (e.g. VCTK benchmark), see universr-speech .

Paper : arXiv:2510.00771 | Demo : woongzip1.github.io/universr-demo | Code : github.com/woongzip1/UniverSR

Usage

import torchaudio
from universr import UniverSR

model = UniverSR.from_pretrained("woongzip/universr-audio", device="cuda")
output = model.enhance("low_res.wav", input_sr=16000)
torchaudio.save("output_48k.wav", output.cpu(), 48000)

Citation

@inproceedings{choi2026universr,
  title     = {{UniverSR}: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching},
  author    = {Choi, Woongjib and Lee, Sangmin and Lim, Hyungseob and Kang, Hong-Goo},
  booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  year      = {2026}
}

Runs of woongzip1 universr-audio on huggingface.co

5.9K

Total runs

-229

24-hour runs

-1.0K

3-day runs

-1.7K

7-day runs

-2.1K

30-day runs

More Information About universr-audio huggingface.co Model

More universr-audio license Visit here:

https://choosealicense.com/licenses/cc-by-4.0

universr-audio huggingface.co

universr-audio huggingface.co is an AI model on huggingface.co that provides universr-audio's model effect (), which can be used instantly with this woongzip1 universr-audio model. huggingface.co supports a free trial of the universr-audio model, and also provides paid use of the universr-audio. Support call universr-audio model through api, including Node.js, Python, http.

universr-audio huggingface.co Url

https://huggingface.co/woongzip1/universr-audio