Audio-WestlakeU / FullSubNet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Date Created 2020-12-18 (4 years ago)

Commits 104 (last one about a year ago)

Stargazers 558 (0 this week)

Watchers 10 (0 this week)

Forks 158

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these Audio-WestlakeU/FullSubNet is ranked #84,251 (86th percentile) for total stargazers, and #207,845 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #13,720/119,431.

Audio-WestlakeU/FullSubNet is also tagged with popular topics, for these it's ranked: pytorch (#1,293/6025), audio (#329/1510), paper (#115/445), speech (#75/308)

Other Information

Audio-WestlakeU/FullSubNet has 1 open pull request on Github, 8 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 38 open issues and 24 closed issues.

There have been 1 release, the latest one was published on 2021-01-16 (3 years ago) with the name FullSubNet Checkpoints and RIRs.

Homepage URL: https://fullsubnet.readthedocs.io/en/latest/

All Topics

band audio paper speech pytorch sub-band denoising full-band narrow-band single-channel noise-reduction pretrained-model speech-processing speech-separation speech-enhancement reproducible-research

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23 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Python

updated: 2024-12-17 @ 07:34pm, id: 322543420 / R_kgDOEzmfPA