OK , so   so if you have the foreground speaker speaking here , and then there 's some background speech , may be overlapping it somehow , um , and this is the time bin that we used , then of course you 're gonna get insertion errors here and here.
Right.
Right ? So we scored everything , and I must say the NIST scoring tools are pretty nice for this , where you just basically ignore everything outside of the ,  uh , region that was deemed to be foreground speech. And where that was we had to use the t forced alignment , uh , results from s for  so  That 's somewhat  that 's somewhat subject to error , but still we  we   Uh , Don did some ha hand - checking and  and we think that  based on that , we think that the results are you know , valid , although of course , some error is gonna be in there. But basically what we found is after we take out these regions  so we only score the regions that were certified as foreground speech ,   the recognition error went down to almost  uh , the  level of the non - overlapped  speech. So that means that  even if you do have background speech , if you can somehow separate out or find where it is ,  uh , the recognizer does a good job ,
That 's great.