input: Text: Professor A: Am I on? I guess so. Radio two. Hmm. Radio two. Grad E: Hello? Professor A: Wow. Grad E: Mm - hmm. Hi? PhD B: Blow into it, it works really well. Grad F: Channel B. Professor A: People say the strangest things when their microphones are on. PhD D: Channel four. Test. PhD C: Uh - oh. PhD D: OK. PhD C: Radio four. Grad E: Hello? Professor A: So everybody everybody's on? PhD D: Today's Professor A: Yeah. So y you guys had a <unk>disfmarker<unk> a meeting with uh <unk>disfmarker<unk> with Hynek which I unfortunately had to miss. Um and uh somebody PhD C: Mmm. Professor A: eh e and uh I guess Chuck you weren't there either, so the uh PhD B: I was there. Professor A: Oh you were there? PhD B: With Hynek? Professor A: Yeah. PhD B: Yeah. Professor A: So everybody knows what happened except me. OK. <unk>vocalsound<unk> Maybe somebody should tell me. PhD C: Oh yeah. Alright. Well. Uh first we discussed about some of the points that I was addressing in the mail I sent last week. Professor A: Uh - huh. PhD C: So. Yeah. About the um, well <unk>disfmarker<unk> the downsampling problem. Professor A: Yeah. PhD C: Uh and about the f the length of the filters and <unk>disfmarker<unk> Yeah. Professor A: What was the <unk>disfmarker<unk> w what was the downsampling problem again? PhD C: So we had <unk>disfmarker<unk> Professor A: I forget. PhD C: So the fact that there <unk>disfmarker<unk> there is no
  Question: Summarize the discussion on improving the back recognizer for the Aurora task
  Answer:
output: PhD B was conducting an experiment to improve the backend performance of the Aurora recognizer. The goal was recognizing the HTK system by challenging the canonical paradigm.