input: Text: PhD A: Eh, we should be going. Professor B: So ne next week we 'll have, uh, both Birger <unk>pause<unk> and, uh, Mike <unk>disfmarker<unk> Michael <unk>disfmarker<unk> Michael Kleinschmidt and Birger Kollmeier will join us. PhD D: Uh - huh. Professor B: Um, and you're <unk>disfmarker<unk> <unk>vocalsound<unk> you're probably gonna go up in a couple <unk>disfmarker<unk> three weeks or so? When d when are you thinking of going up to, uh, OGI? PhD D: Yeah, like, uh, not next week but maybe the week after. Professor B: OK. Good. So at least we 'll have one meeting with <unk>vocalsound<unk> yo with you still around, and <unk>disfmarker<unk> and <unk>disfmarker<unk> PhD D: Uh - huh. Professor B: That's good. PhD D: Um, Yeah. Well, <unk>vocalsound<unk> maybe we can start with this. Mmm. Professor B: All today, huh? PhD D: Yeah. Professor B: Oh. PhD D: Um. Yeah. So there was this conference call this morning, um, and the only topic on the agenda was just to discuss a and to come at <unk>disfmarker<unk> uh, to get a decision about this latency problem. Professor B: No, this <unk>disfmarker<unk> I'm sorry, this is a conference call between different Aurora people or just <unk>disfmarker<unk>? PhD D: Uh, yeah. It's the conference call between the Aurora, <unk>vocalsound<unk> uh, group. Professor B: It's the main conference call. OK. PhD D: Uh, yeah. There were like two hours of <unk>pause<unk>
  Question: Summarize the meeting
  Answer:
output: The meeting occurred very close to the finalization of the Aurora model. The team discussed how various components of the model could be moved around to improve results. They had to decrease system latency as well to meet the Aurora requirements. The team thought that LPC could solve the problems they were having. The team also began discussing the Wall Street Journal data and task, which focused on speech recognition. The team was studying the task and learning from Mississippi State's existing model on how to perform better on it. Finally, the team discussed how they could histogram equalization as an alternative to some of the techniques they were using in their current models.