And you have to do something if you get these negative values. I mean , this is your noise estimate and you somehow subtract it or do whatever. Uh , and then you have  And then I think what you do is you introduce some  some artificial distribution in this uh in  in the models. I mean , i you  you train it also this way but , i somehow there is  u u there is no longer a  a Gaussian distribution. It is somehow a strange distribution which we introduce with these  artificial distortions. And  and I was thinking that  that might be the reason why you get these problems in the  especially in the multi - condition training mode.
Yeah , yeah.
Mm - hmm.
Th - That 's true. Yeah  the c the models are not complex enough to absorb that additional variability that you 're introducing.