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
  Question: What did the professor think about the voice-unvoice characterization?
  Answer:
output: The professor thought that the team should go back and look at the difference between the smooth and the raw versions. He thought the team was too stuck on intuitions based on only the smooth version. He agreed that not having a smooth version could hurt the model a bit, but the team could potentially learn something that helps the model more.