Yeah.
OK. So I guess the way it would work is that you 'd get  There 'd be some point where you say , " OK , this is their version - one " or whatever , and we get these VAD labels and features and so forth for all these test sets from them ,
Mm - hmm.
and then um , uh , that 's what we work with. We have a certain level we try to improve it with this other path and then um , uh , when it gets to be uh , January some point uh , we say , " OK we  we have shown that we can improve this , in this way. So now uh  um  what 's your newest version ? " And then maybe they 'll have something that 's better and then we  we 'd combine it. This is always hard. I mean I  I  I used to work  with uh folks who were trying to improve a good uh , HMM system with uh  with a neural net system and uh , it was  a common problem that you 'd  Oh , and this  Actually , this is true not just for neural nets but just for  in general if people were  working with uh , rescoring uh , N - best lists or lattices that come  came from uh , a mainstream recognizer. Uh , You get something from the  the other site at one point and you work really hard on making it better with rescoring. But they 're working really hard , too. So by the time  you have uh , improved their score , they have also improved their score