input: Text: PhD A: It's not very significant. Professor B: Uh, channel one. Yes. Grad D: Channel three. Professor B: OK. PhD F: Mm - hmm. Grad D: Channel three. PhD A: Ta Grad D: Channel three. Alright. Professor B: OK, did you solve speech recognition last week? Grad E: Almost. Professor B: Alright! Let's do image processing. PhD C: Yes, again. PhD A: Great. PhD C: We did it again, Morgan. Professor B: Alright! Grad E: Doo - doop, doo - doo. PhD A: What's wrong with <unk>disfmarker<unk>? Professor B: OK. It's April fifth. Actually, Hynek should be getting back in town shortly if he isn't already. PhD C: Is he gonna come here? Professor B: Uh. Well, we 'll drag him here. I know where he is. PhD C: So when you said " in town ", you mean <unk>pause<unk> Oregon. Professor B: U u u u uh, I meant, you know, this end of the world, yeah, <unk>vocalsound<unk> is really what I meant, PhD C: Oh. Grad E: Doo, doo - doo. Professor B: uh, cuz he's been in Europe. Grad E: Doo - doo. Professor B: So. PhD C: I have something just fairly brief to report on. Professor B: Mmm. PhD C: Um, I did some <unk>pause<unk> experim uh, uh, just a few more experiments before I had to, <unk>vocalsound<unk> uh, go away for the w well, that week. Professor B: Great! PhD C: Was it last week or whenever? Um, so what I was started playing with was
  Question: Summarize the meeting
  Answer:
output: The meeting began with an update on the HTK backend. The team was testing different numbers for Gaussian mixtures. The team then discussed how performance on the Aurora tasks was measured. The final score for Aurora was a weighted average, but it seemed that there was no practical implementation against which tasks were being measured. The VAD of the team's existing system for Aurora was better. The team was also working on feature classification, mainly to do voice-unvoice detection. The meeting concluded with a few more updates on the Aurora project.