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  This repository provides all the necessary tools to perform audio source separation with a [SepFormer](https://arxiv.org/abs/2010.13154v2)
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  model, implemented with SpeechBrain, and pretrained on WSJ0-3Mix dataset. For a better experience we encourage you to learn more about
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- [SpeechBrain](https://speechbrain.github.io). The given model performance is 19.8 dB SI-SNRi on the test set of WSJ0-3Mix dataset.
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  | Release | Test-Set SI-SNRi | Test-Set SDRi |
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  |:-------------:|:--------------:|:--------------:|
@@ -73,7 +73,7 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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- howpublished = {\\\\\\\\\\\\\\\\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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  This repository provides all the necessary tools to perform audio source separation with a [SepFormer](https://arxiv.org/abs/2010.13154v2)
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  model, implemented with SpeechBrain, and pretrained on WSJ0-3Mix dataset. For a better experience we encourage you to learn more about
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+ [SpeechBrain](https://speechbrain.github.io). The model performance is 19.8 dB SI-SNRi on the test set of WSJ0-3Mix dataset.
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  | Release | Test-Set SI-SNRi | Test-Set SDRi |
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  |:-------------:|:--------------:|:--------------:|
 
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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+ howpublished = {\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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