Yeah we j we just needed a way to , strip , you know , all the comments , all the things th the  that linguist wants but the recognizer can't do anything with. Um , but to keep things that we mapped to like reject models , or , you know , uh , mouth noise , or , cough. And then there 's this interesting issue Jane brought up which I hadn't thought about before but I was , realizing as I went through the transcripts , that there are some noises like , um , well the  good example was an inbreath , where a transcriber working from , the mixed , signal , doesn't know whose breath it is ,
Right.
and they 've been assigning it to someone that may or may not be correct. And what we do is , if it 's a breath sound , you know , a sound from the speaker , we map it , to , a noise model , like a mouth - noise model in the recognizer , and , yeah , it probably doesn't hurt that much once in a while to have these , but , if they 're in the wrong channel , that 's , not a good idea. And then there 's also , things like door - slams that 's really in no one 's channel , they 're like  it 's in the room.
Yeah.