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README.md
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model, implemented with SpeechBrain, and pretrained on WSJ0-2Mix 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 22.5 dB on the test set of WSJ0-2Mix dataset.
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## Install SpeechBrain
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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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model, implemented with SpeechBrain, and pretrained on WSJ0-2Mix 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 22.5 dB on the test set of WSJ0-2Mix dataset.
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| Release | Test-Set SI-SNR | Test-Set SDR |
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|:-------------:|:--------------:|:--------------:|
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| 09-03-21 | 22.5 | 22.7 |
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## Install SpeechBrain
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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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#### Referencing SepFormer
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```
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@inproceedings{subakan2021attention,
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title={Attention is All You Need in Speech Separation},
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author={Cem Subakan and Mirco Ravanelli and Samuele Cornell and Mirko Bronzi and Jianyuan Zhong},
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year={2021},
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booktitle={ICASSP 2021}
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}
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```
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