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README.md

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 # SepFormer trained on WHAMR! for speech enhancement (8k sampling frequency)
-This repository provides all the necessary tools to perform speech enhancement (denoising + dereverberation) with a [SepFormer](https://arxiv.org/abs/2010.13154v2) model, implemented with SpeechBrain, and pretrained on [WHAMR!](http://wham.whisper.ai/) dataset with 8k sampling frequency, which is basically a version of WSJ0-Mix dataset with environmental noise and reverberation in 8k. For a better experience we encourage you to learn more about [SpeechBrain](https://speechbrain.github.io). The given model performance is  dB SI-SNRi on the test set of WHAMR! dataset.
+This repository provides all the necessary tools to perform speech enhancement (denoising + dereverberation) with a [SepFormer](https://arxiv.org/abs/2010.13154v2) model, implemented with SpeechBrain, and pretrained on [WHAMR!](http://wham.whisper.ai/) dataset with 8k sampling frequency, which is basically a version of WSJ0-Mix dataset with environmental noise and reverberation in 8k. For a better experience we encourage you to learn more about [SpeechBrain](https://speechbrain.github.io). The given model performance is 10.59 dB SI-SNR on the test set of WHAMR! dataset.
 
 
 | Release | Test-Set SI-SNR | Test-Set PESQ |