# Audio-WestlakeU/FullSubNet

<https://repo.masters-masters.com/en/repos/Audio-WestlakeU/FullSubNet>

[Home](https://repo.masters-masters.com/en) › [Audio-WestlakeU](https://repo.masters-masters.com/en/owners/Audio-WestlakeU) › [FullSubNet](https://repo.masters-masters.com/en/repos/Audio-WestlakeU/FullSubNet)

Audio-WestlakeU/FullSubNet has 617 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion…

| Field | Value |
| --- | --- |
| Owner | [Audio-WestlakeU](https://repo.masters-masters.com/en/owners/Audio-WestlakeU) |
| Stars | 617 |
| Forks | 158 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | speech-enhancement, speech-processing, speech-separation, pytorch, pretrained-model, paper, full-band, sub-band, single-channel, noise-reduction |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Audio-WestlakeU/FullSubNet](https://github.com/Audio-WestlakeU/FullSubNet) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.