input: Text: Grad A: OK. We seem to be recording. Professor G: Alright! Grad A: So, sorry about not <unk>disfmarker<unk> Professor G: We're not crashing. PhD D: Number four. Grad A: not pre - doing everything. The lunch went a little later than I was expecting, Chuck. PhD E: Hmm? Professor G: OK. PhD B: Chuck was telling too many jokes, or something? Grad A: Yep. Pretty much. PhD E: Yeah. Professor G: OK. <unk>vocalsound<unk> Does anybody have an agenda? Grad A: No. Postdoc F: Well, I'm <unk>disfmarker<unk> I sent a couple of items. They're <unk>disfmarker<unk> they're sort of practical. Professor G: I thought <unk>pause<unk> somebody had. Postdoc F: I don't know if you're <unk>disfmarker<unk> Professor G: Yeah, that's right. Postdoc F: if <unk>disfmarker<unk> if that's too practical for what we're <unk>pause<unk> focused on. Grad A: I mean, we don't want anything too practical. Professor G: Yeah, we only want th useless things. Grad A: Yeah, that would be <unk>disfmarker<unk> Professor G: Yeah. No, why don't we talk about practical things? Postdoc F: OK. Professor G: Sure. Postdoc F: Well, um, I can <unk>pause<unk> give you an update on the <unk>pause<unk> transcription effort. Professor G: Great. Postdoc F: Uh, maybe <unk>nonvocalsound<unk> raise the issue of microphone, uh, um procedures with reference to the <unk>pause<unk> cleanliness of the recordings. Professor G: OK, transcription, uh, microphone issues <unk>disfmarker<unk> Postdoc F: And then maybe <unk>nonvocalsound<unk> ask, th
  Question: What did the team discuss about volume variation?
  Answer:
output: Speaker mn014  trained the system to identify speech from loud versus quiet speakers. Such pre-segmentation modifications allow the experimenter to specify the minimum length of speech and silence portions desired, and also facilitate the identification of pauses and utterance boundaries. 