maum-ai/nuwave

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021

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Emerging

NU-Wave helps audio professionals enhance the quality of low-resolution audio recordings. It takes in existing audio files that might sound rough or muffled and intelligently fills in the missing sound details, outputting a clearer, higher-fidelity version. This is useful for anyone working with audio, such as sound engineers, podcasters, or content creators, who need to improve the sound quality of their source material.

283 stars. No commits in the last 6 months.

Use this if you need to transform low-quality, sampled audio recordings into richer, more detailed, and higher-fidelity versions for better listening or further processing.

Not ideal if you need to clean up noise from an audio file, as its primary function is upsampling, not general noise reduction.

audio-enhancement sound-production speech-processing audio-restoration media-post-production
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

283

Forks

20

Language

Python

License

BSD-3-Clause

Last pushed

Jul 22, 2022

Commits (30d)

0

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