Update README.md

README.md

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+<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
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 # SepFormer trained on WHAM!
 This repository provides all the necessary tools to perform audio source separation with a [SepFormer](https://arxiv.org/abs/2010.13154v2) model, implemented with SpeechBrain, and pretrained on [WHAM!](http://wham.whisper.ai/) dataset, which is basically a version of WSJ0-Mix dataset with environmental noise. For a better experience we encourage you to learn more about [SpeechBrain](https://speechbrain.github.io). The given model performance is 16.3 dB SI-SNRi on the test set of WHAM! dataset.
 
@@ -63,7 +66,7 @@ To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling
     year = {2021},
     publisher = {GitHub},
     journal = {GitHub repository},
-    howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
+    howpublished = {\\\\\\\\url{https://github.com/speechbrain/speechbrain}},
   }
 ```