Professor A: OK . So um I suggest actually now we we we sorta move on and and hear what 's what 's what 's happening in in other areas like what 's what 's happening with your investigations about echos and so on .
Grad F: Oh um Well um I haven't started writing the test yet , I 'm meeting with Adam today
Professor A: Mm - hmm .
Grad F: um and he 's going t show me the scripts he has for um  running recognition on mee Meeting Recorder digits .
Professor A: Mm - hmm .
Grad F: Uh I also um  haven't got the code yet , I haven't asked Hynek for for the for his code yet . Cuz I looked at uh Avendano 's thesis and I don't really understand what he 's doing yet but it  it it sounded like um the channel normalization part um of his thesis um was done in a a bit of I don't know what the word is , a a bit of a rough way um it sounded like he um he he it it wasn't really fleshed out and maybe he did something that was interesting for the test situation but I I 'm not sure if it 's what I 'd wanna use so I have to I have to read it more , I don't really understand what he 's doing yet .
Professor A: OK . Yeah I haven't read it in a while so I 'm not gonna be too much help unless I read it again ,
PhD D: It 's my
PhD C: Oh yeah ?
PhD D: I know this is mine here .
Professor A: so . OK . Um . The um so you , and then you 're also gonna be doing this echo cancelling between the the close mounted and the  and the the the what we 're calling a cheating experiment uh of sorts between the distant Grad F: Uh I I 'm ho Right . Well  or I 'm hoping I 'm hoping Espen will do it .
Professor A: Ah ! OK .
Grad F: Um
Professor A: F um
Grad F: u
Professor A: Delegate . That 's good . It 's good to delegate .
Grad F: I I think he 's at least planning to do it for the cl close - mike cross - talk and so maybe I can just take whatever setup he has and use it .
Professor A: Great . Great . Yeah actually um he should uh I wonder who else is I think maybe it 's Dan Ellis is going to be doing uh a different cancellation . Um . One of the things that people working in the meeting task wanna get at is they would like to have cleaner close - miked recordings . So uh this is especially true for the lapel but even for the close close - miked uh cases um we 'd like to be able to have um other sounds from other people and so forth removed from So when someone isn't speaking you 'd like the part where they 're not speaking to actually be So what they 're talking about doing is using ec uh echo cancellation - like techniques . It 's not really echo but uh just um uh taking the input from other mikes and using uh uh a uh  an adaptive filtering approach to remove the effect of that uh other speech . So . Um what was it , there was there was some some some point where eh uh Eric or somebody was was speaking and he had lots of silence in his channel and I was saying something to somebody else uh which was in the background and it was not it was recognizing my words , which were the background speech on the close  close mike .
Grad F: Hmm .
PhD B: Oh the What we talked about yesterday ?
Professor A: Yes .
PhD B: Yeah that was actually my I was wearing the I was wearing the lapel and you were sitting next to me ,
Professor A: Oh you it was you I was Yeah .
PhD B: and I only said one thing but you were talking and it was picking up all your words .