# RetroCirce/Zero\_Shot\_Audio\_Source\_Separation

<https://repo.masters-masters.com/en/repos/RetroCirce/Zero_Shot_Audio_Source_Separation>

[Home](https://repo.masters-masters.com/en) › [RetroCirce](https://repo.masters-masters.com/en/owners/RetroCirce) › [Zero\_Shot\_Audio\_Source\_Separation](https://repo.masters-masters.com/en/repos/RetroCirce/Zero_Shot_Audio_Source_Separation)

RetroCirce/Zero\_Shot\_Audio\_Source\_Separation has 211 stars on GitHub. Its RepoMasters card: Prototype tier. The official code repo for "Zero-shot Audio Source…

| Field | Value |
| --- | --- |
| Owner | [RetroCirce](https://repo.masters-masters.com/en/owners/RetroCirce) |
| Stars | 211 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | audio-source-separation, music-information-retrieval, zero-shot-learning, transformer-models, query-based-learning, python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RetroCirce/Zero\_Shot\_Audio\_Source\_Separation](https://github.com/RetroCirce/Zero_Shot_Audio_Source_Separation) |

## Repository

The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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