Update README.md

README.md

@@ -20,11 +20,11 @@ metrics:
 
 This repository provides all the necessary tools to perform source separation with a [SepFormer](https://arxiv.org/abs/2010.13154v2) 
 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.
+[SpeechBrain](https://speechbrain.github.io). The given model performance is 22.4 dB on the test set of WSJ0-2Mix dataset.
 
 | Release | Test-Set SI-SNR | Test-Set SDR |
 |:-------------:|:--------------:|:--------------:|
-| 09-03-21 | 22.5dB | 22.7dB |
+| 09-03-21 | 22.4dB | 22.6dB |
 
 
 ## Install SpeechBrain
@@ -47,7 +47,7 @@ import torchaudio
 
 model = separator.from_hparams(source="speechbrain/sepformer-wsj02mix")
 
-mix, fs = torchaudio.load("test_mixture.wav")
+mix, fs = torchaudio.load("samples/audio_samples/test_mixture.wav")
 
 est_sources = model.separate(mix)
 est_sources = est_sources / est_sources.max(dim=1, keepdim=True)[0]