E: So if you could hook that up so it hit the keyboard B: Yeah .
B: Yeah .
B: Yeah .
B: Yeah .
E: That 's an interesting experiment .
B: It would be similar similar to B: I knew some people who were uh that was in old Communist uh Czechoslovakia ,
B: right ?
B: so we were watching for American airplanes , coming to spy on on uh on us at the time ,
E: Mm - hmm .
E: Mm - hmm .
B: so there were three guys uh uh stationed in the middle of the woods on one l lonely uh watching tower , pretty much spending a year and a half there because there was this service
B: right ?
E: Ugh !
B: And so they very quickly they made friends with local girls and local people in the village
B: and E: Yeah .
B: and so but they there was one plane flying over s always uh uh above ,
B: and so that was the only work which they had .
B: They like four in the afternoon they had to report there was a plane from Prague to Brno Basically f flying there ,
E: Yeah .
B: so they f very q f first thing was that they would always run back and and at four o ' clock and and quickly make a call , " this plane is uh uh passing "
B: then a second thing was that they they took the line from this u u post to uh uh a local pub .
B: And they were calling from the pub .
B: And they but third thing which they made , and when they screwed up , they finally they had to p the the p the pub owner to make these phone calls because they didn't even bother to be there anymore .
B: And one day there was there was no plane .
B: At least they were sort of smart enough that they looked if the plane is flying there ,
B: right ?
E: Yeah .
B: And the pub owner says " oh my four o ' clock , OK , quickly p pick up the phone , call that there 's a plane flying . "
B: There was no plane for some reason ,
E: And there wasn't ?
B: it was downed ,
B: or  and B: so they got in trouble .
B: But . But uh .
E: Huh !
E: Well that 's that 's a really i
B: So . So . Yeah .
E: That wouldn't be too difficult to try .
E: Maybe I could set that up .
B: Yeah .
B: Yeah .
E: And we 'll just B: Well , at least go test the s test the uh assumption about C - C - one I mean to begin with .
B: But then of course one can then think about some predictable result to change all of them .
C: Mm - hmm .
B: It 's just like we used to do these uh these uh um the the uh distance measures .
B: It might be that uh E: Yeah , so the first set of uh variance weighting vectors would be just you know one modifying one and leaving the others the same .
B: Yeah .
B: Yeah .
B: Yeah .
B: Yeah .
B: Yeah .
C: Yeah .
C: Maybe .
E: And and do that for each one .
B: Because you see , I mean , what is happening here in a in a in a in such a model is that it 's tells you yeah what has a low variance uh is uh is uh is more reliable ,
E: That would be one set of experiment B: right ?
B: How do we E: Wh - yeah , when the data matches that , then you get really B: Yeah .
B: Yeah .
B: Yeah .
B: Yeah .
B: Yeah .
E: Yeah .
E: Right .
B: How do we know , especially when it comes to noise ?
E: But there could just naturally be low variance .
B: Yeah ?
E: Because I Like , I 've noticed in the higher cepstral coefficients , the numbers seem to get smaller ,
E: right ?
E: So d
C: They t
E: I mean , just naturally .
C: Yeah .
B: Yeah , th that 's C: They have smaller means , also .
E: Yeah .
C: Uh .
E: Exactly .
E: And so it seems like they 're already sort of compressed .
C: Uh - huh .
E: The range of values .
B: Yeah that 's why uh people used these lifters were inverse variance weighting lifters basically that makes uh uh Euclidean distance more like uh Mahalanobis distance with a diagonal covariance when you knew what all the variances were over the old data .
E: Mm - hmm .
E: Mm - hmm .
E: Hmm .
B: What they would do is that they would weight each coefficient by inverse of the variance .
B: Turns out that uh the variance decreases at least at fast , I believe , as the index of the cepstral coefficients .
E: Mm - hmm .
B: I think you can show that uh uh analytically .
E: Hmm .
B: So typically what happens is that you you need to weight the uh weight the higher coefficients more than uh the lower coefficients .
E: Mm - hmm .
E: Hmm .
C: Mmm .
B: So .
B: When Yeah .
B: When we talked about Aurora still I wanted to m make a plea uh encourage for uh more communication between between uh uh different uh parts of the distributed uh uh center .