Or less important , so that 's  th that 's a  that 's a painful one , yeah.
So for each  uh set of exponents that you would try , it would require a training and a recognition ?
Yeah. But  but wait a minute. You may not need to re uh uh retrain the m model. You just may n may need to c uh give uh less weight to  to uh a mod uh a component of the model which represents this particular feature. You don't have to retrain it.
Oh. So if you  Instead of altering the feature vectors themselves , you  you modify the  the  the Gaussians in the models.