Mm - hmm.
It 's a  it has  it has uh thirty - nine dimensions , or thirteen dimensions if you g ignore deltas and double - deltas.
Mm - hmm. Mm - hmm.
So in order  if you  in order to make dimension which  which Stephane sees uh less important , uh uh I mean not  not useful , less important , what you do is that this particular component in the model you can multiply by w you can  you can basically de - weight it in the model. But you can't do it in a  in a test data because you don't have a model for th I mean uh when the test comes , but what you can do is that you put this particular component in  and  and you compress it. That becomes uh th gets less variance , subsequently becomes less important.