input: Text: Professor E: So. OK. Doesn't look like it crashed. That's great. Grad G: So I think maybe what's causing it to crash is I keep starting it and then stopping it to see if it's working. And so I think starting it and then stopping it and starting it again causes it to crash. So, I won't do that anymore. Postdoc B: And it looks like you've found a way of uh mapping the location to the <unk>disfmarker<unk> without having people have to give their names each time? PhD A: Sounds like an initialization thing. Postdoc B: I mean it's like you have the <unk>disfmarker<unk> So you know that <unk>disfmarker<unk> Grad G: No. Postdoc B: I mean, are you going to write down <unk>pause<unk> that I sat here? Grad G: I'm gonna collect the digit forms and write it down. Postdoc B: OK. PhD C: Oh, OK. Grad G: So <unk>disfmarker<unk> So they should be right with what's on the digit forms. OK, so I 'll go ahead and start with digits. u And I should say that uh, you just pau you just read each line an and then pause briefly. Professor E: And start by giving the transcript number. PhD A: Tran PhD D: Transcript <unk>disfmarker<unk> Uh. OK, OK. PhD A: Oh sorry, go ahead. Professor E: So uh, you see, Don, the unbridled excitement of the work that we have on this project. Grad H: OK. Professor E: It's just uh <unk>disfmarker<unk> Grad H: Umh. Professor E: Uh, you know, it doesn't seem like a bad idea to have <unk>comment<unk> that information. Grad G: And I'm surprised I sort of <unk>disfmarker<unk> I
  Question: What was said on speech overlap?
  Answer:
output: Efforts by speaker mn005 are in progress to detect overlapping speech. For a single transcribed meeting, speaker mn005 reported approximately 300 cases of overlap. Future work will involve manually deriving time marks from sections of overlapping speech for the same meeting, and then experimenting with different measures, e.g. energy increase, to determine a set of acoustically salient features for identifying speaker overlap. 