input: Text: Professor D: OK. PhD A: Mike. Mike - one? PhD B: Ah. Professor D: We're on? Yes, please. I mean, we're testing noise robustness but let's not get silly. OK, so, uh, you've got some, uh, Xerox things to pass out? PhD A: Yeah, Professor D: That are <unk>disfmarker<unk> PhD A: um. Professor D: Yeah. PhD A: Yeah. Yeah, I'm sorry for the table, but as it grows in size, uh, it. Professor D: Uh, so for th the last column we use our imagination. OK. PhD B: Ah, yeah. Professor D: Ah. PhD A: Uh, yeah. PhD B: Uh, do you want @ @. Professor D: This one's nice, though. This has nice big font. PhD A: Yeah. Grad C: Let's see. Yeah. Chop! Professor D: Yeah. PhD A: So Professor D: When you get older you have these different perspectives. I mean, lowering the word hour rate is fine, but having big font! PhD A: Next time we will put colors or something. Professor D: That's what's <unk>disfmarker<unk> PhD A: Uh. Professor D: Yeah. It's mostly big font. OK. PhD A: OK, s so there is kind of summary of what has been done <unk>disfmarker<unk> Professor D: Uh <unk>disfmarker<unk> Go ahead. PhD A: It's this. Summary of experiments since, well, since last week Professor D: Oh. OK. PhD A: and also since the <unk>disfmarker<unk> we've started to run <unk>disfmarker<unk> work on this. Um. <unk>pause<unk> So since last week we've started to fill the column with
  Question: Summarize the meeting
  Answer:
output: The participants went over the results of the most recent experiments, discussing future directions to take. Adding in more languages was still decreasing model performance. The best network consisted of the TIMIT and noise. The team thought that they should try to reduce their dependence on noise in the data. The Professor outlined how they could continue their experimentation.