Update README.md

README.md

@@ -64,6 +64,9 @@ enhanced = enhance_model.enhance_batch(noisy, lengths=torch.tensor([1.]))
 torchaudio.save('enhanced.wav', enhanced.cpu(), 16000)
 ```
 
+The system is trained with recordings sampled at 16kHz (single channel).
+The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling *enhance_file* if needed. Make sure your input tensor is compliant with the expected sampling rate if you use *enhance_batch* as in the example.
+
 ### Inference on GPU
 To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.