I also have the feeling that um , the reason ye why it doesn't work is  yeah , that the models are much  are t um , not complex enough. Because I  actually I als always had a good experience with spectral subtraction , just a straight spectral subtraction algorithm when I was using neural networks , big neural networks , which maybe are more able to model strange distributions and
Mm - hmm.
But  Yeah. Then I tried the same  exactly the same spectral subtraction algorithm on these Aurora tasks and it simply doesn't work. It 's even  it , uh , hurts even.
Hmm.