Update README.md

README.md

@@ -22,6 +22,9 @@ This repository provides all the necessary tools to perform source separation wi
 model, implemented with SpeechBrain, and pretrained on WSJ0-2Mix dataset. For a better experience we encourage you to learn more about
 [SpeechBrain](https://speechbrain.github.io). The given model performance is 22.5 dB on the test set of WSJ0-2Mix dataset.
 
+| Release | Test-Set SI-SNR | Test-Set SDR |
+|:-------------:|:--------------:|:--------------:|
+| 09-03-21 | 22.5 | 22.7 |
 
 
 ## Install SpeechBrain
@@ -65,4 +68,14 @@ torchaudio.save("source2hat.wav", est_sources[:, :, 1].detach().cpu(), 8000)
     journal = {GitHub repository},
     howpublished = {\url{https://github.com/speechbrain/speechbrain}},
   }
+```
+
+#### Referencing SepFormer
+```
+@inproceedings{subakan2021attention,
+      title={Attention is All You Need in Speech Separation}, 
+      author={Cem Subakan and Mirco Ravanelli and Samuele Cornell and Mirko Bronzi and Jianyuan Zhong},
+      year={2021},
+      booktitle={ICASSP 2021}
+}
 ```