Speech enhancement evaluation

[leesyy]

Hello, thanks for your great work.

I've been trying to reproduce the enhancement performance on the VoxCeleb2 test set, but the performance of the given pre-trained model was much lower than in the paper.
(I used evaluateSeparation.py from the main directory to evaluate the metrics.)

And when I tried with test_synthetic_script.sh, the outputs were bad for my hearing.
The offscreen noise in the mixture (audio_mixed.wav) was much larger than the voice from what I heard, so I felt that the enhancement would be too difficult for the model.

I have 2 questions regarding this.

1. Is the pre-trained model in the av-enhancement directory your best model for speech enhancement, not separation?
2. Is your evaluation done with a mixture of two speeches and an offscreen noise with weight 1?
   Isn't it too difficult for the model to separate and enhance at the same time?

Thanks in advance.