# etzinis/sudo\_rm\_rf

<https://repo.masters-masters.com/en/repos/etzinis/sudo_rm_rf>

[Home](https://repo.masters-masters.com/en) › [etzinis](https://repo.masters-masters.com/en/owners/etzinis) › [sudo\_rm\_rf](https://repo.masters-masters.com/en/repos/etzinis/sudo_rm_rf)

etzinis/sudo\_rm\_rf has 339 stars on GitHub. Its RepoMasters card: Alpha tier. Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf…

| Field | Value |
| --- | --- |
| Owner | [etzinis](https://repo.masters-masters.com/en/owners/etzinis) |
| Stars | 339 |
| Forks | 37 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | deep-learning, speech, speech-separation, audio |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [etzinis/sudo\_rm\_rf](https://github.com/etzinis/sudo_rm_rf) |

## Repository

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

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.