# ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation

<https://repo.masters-masters.com/en/repos/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation>

[Home](https://repo.masters-masters.com/en) › [ShiZiqiang](https://repo.masters-masters.com/en/owners/ShiZiqiang) › [dual-path-RNNs-DPRNNs-based-speech-separation](https://repo.masters-masters.com/en/repos/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation)

ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation has 182 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch implementation of dual-path…

| Field | Value |
| --- | --- |
| Owner | [ShiZiqiang](https://repo.masters-masters.com/en/owners/ShiZiqiang) |
| Stars | 182 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation](https://github.com/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation) |

## Repository

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

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.