Mm - hmm.
And  Mmm. So the smoothing is  I did a smoothing actually on this gain , uh , trajectory. But it 's  the smoothing is nonlinear in the sense that I tried to not smooth if the gain is high , because in this case we know that , uh , the estimate of the gain is correct because we  we are not close to  to  to zero , um , and to do more smoothing if the gain is low. Mmm. Um. Yeah. So , well , basically that 's this idea , and it seems to give pretty good results , uh , although I 've just  just tested on Italian and Finnish. And on Italian it seems  my result seems to be a little bit better than the Wiener filtering ,
Mm - hmm. Yeah , the one you showed yesterday.
right ?