But then the background speech was also a reject model , and so this constraint of not allowing rejects in between  you know , it needs to differentiate between the two. So just sort of working through a bunch of debugging kinds of issues.
Right.
And another one is turns , like people starting with  " well I think " and someone else is  " well how about ". So the word " well " is in this  in this  segment multiple times , and as soon as it occurs usually the aligner will try to align it to the first person who says it. But then that constraint of sort of  uh , proximity constraint will push it over to the person who really said it in general.
Is the proximity constraint a hard constraint , or did you do some sort of probabilistic weighting distance , or  ?