input: Text: PhD E: OK. Professor B: OK, so <unk>pause<unk> We <unk>disfmarker<unk> we had a meeting with, uh <unk>disfmarker<unk> with Hynek, um, in <unk>disfmarker<unk> in which, uh, uh, Sunil and Stephane, uh <unk>vocalsound<unk> summarized where they were and <unk>disfmarker<unk> and, uh, talked about where we were gonna go. So that <unk>disfmarker<unk> that happened sort of mid - week. Uh. PhD E: D did <unk>disfmarker<unk> did you guys get your code pushed together? PhD D: Oh, yeah. Yeah. It's <unk>disfmarker<unk> it's <unk>disfmarker<unk> it's <unk>disfmarker<unk> it was updated yesterday, PhD E: Cool. PhD D: right? PhD A: Yeah. PhD D: Yeah. PhD A: You probably received the mail. PhD E: Oh, right, I saw <unk>disfmarker<unk> I saw the note. PhD A: Yeah. PhD E: Mm - hmm. Professor B: What was the update? PhD A: What was the update? So there is th then <unk>disfmarker<unk> the <unk>disfmarker<unk> all the new features that go in. Professor B: Yeah. PhD A: The, um, noise suppression, the re - synthesis of speech after suppression. These are the <unk>disfmarker<unk> PhD E: Is the, um <unk>disfmarker<unk> the CVS mechanism working <unk>pause<unk> well? PhD A: Yeah. PhD E: Are <unk>disfmarker<unk> are people, uh, up at OGI grabbing code uh, via that? PhD D: Uh, I don't think <unk>disfmarker<unk> I don't think <unk>disf
  Question: Summarize the meeting
  Answer:
output: The meeting occurred close to the finalization of the model for Aurora. The team had put together a model and was tweaking it to see what achieves best performance. The professor suggested that it was time to make some decisions, have several constants, and then test other theories on remaining features. The neural net, for instance, was yet to come together. Still, the model was second in ranking for the task, behind the leader by only one point. The evaluation criteria for the tasks was still not completely clear, but the team seemed to be doing well.