Mm - hmm.
and then can use it for the next thing that they say , uh , so that , you know , the performance should be better that second time. Um ,  and I think the heuristics of exactly how people handle that and how they handle their training I 'm sure vary from place to place. But I think the  ideally , it seems to me anyway , that you  you would wanna do the same thing in training as you do in test. But that 's  that 's just , uh , a prejudice. And I think anybody working on this with some particular task would experiment.
Right. I g I guess the question I had was , um , amount of data e u was the amount of data that you 'd give it to , um  update this estimate. Because say you  if you have say five thousand utterances in your training set ,  um , and you  you keep the mean from the last utterance , by the time it gets to the five thousandth utterance
No , but those are all different people with different  I mean , i in y So for instance , in  in the  in a telephone task , these are different phone calls. So you don't wanna @ @  chain it together from a  from a different phone call.