input: Text: PhD B: OK. We're on. Grad E: Hello? Professor A: OK, so uh <unk>vocalsound<unk> had some interesting mail from uh Dan Ellis. Actually, I think he <unk>disfmarker<unk> he <unk>vocalsound<unk> redirected it to everybody also so uh <unk>vocalsound<unk> the PDA mikes uh have a big bunch of energy at <unk>disfmarker<unk> at uh five hertz uh where this came up was that uh I was showing off these wave forms that we have on the web and <unk>disfmarker<unk> and uh <unk>vocalsound<unk> I just sort of hadn't noticed this, but that <unk>disfmarker<unk> the major, major component in the wave <unk>disfmarker<unk> in the second wave form in that pair of wave forms is actually the air conditioner. Grad C: Huh. Professor A: So. So. I <unk>vocalsound<unk> <unk>vocalsound<unk> I have to be more careful about using that as a <unk>disfmarker<unk> as a <unk>disfmarker<unk> <unk>vocalsound<unk> as a good illustration, uh, in fact it's not, of uh <unk>disfmarker<unk> <unk>vocalsound<unk> of the effects of room reverberation. It is isn't a bad illustration of the effects of uh room noise. <unk>vocalsound<unk> on <unk>disfmarker<unk> on uh some mikes uh but So. And then we had this other discussion about um <unk>vocalsound<unk> whether this affects the dynamic range, cuz I know, although we start off with thirty two bits, you end up with uh sixteen bits and <unk>vocalsound<unk> you know, are we getting hurt there? But uh Dan is pretty confident that we're not, that <unk>disfmarker<unk> that quantization error is not <unk>disfmarker<unk> is still not a significant <unk>
  Question: Summarize the meeting
  Answer:
output: The meeting began with the professor discussing the technical features of their recordings. The interaction between the hardware and the model had to be mediated through different techniques. Some members on the team were working on low-pass down-sampling as a replacement for LDA filters. Low-pass seemed to perform better, but the team was uncertain about its robustness. The professor thought that the team should submit something to Eurospeech and that they should further study reverberation. The professor thought that studying spectrograms would be a good place to start. The team then discussed VAD and line mean normalization as techniques for getting rid of noise. The meeting ended with a brief discussion on feature detection.