Channel channel am I on Oh Make channel turn two microphone on a Channel battery There we go OK Your channel already on this Yeah blank sheet So you just If Channel five Channel five Channel on whatever five Camera one Little camera low two Channel four Channel five This number four Channel five OK OK gai the up at it what it usually is but Is if it you think Yeah sort of a default But I can set it higher if you like Oh Maybe it should be a little higher Yeah not showing much Test test test test test test test test test test OK that that seems better Yeah OK good Ah good good Ahh Mmm So I I had a question for Adam Have we started already Well we started recording but Yeah Yeah Is Jane around or I saw her earlier Uh She I can think just walk in I guess Yeah Right probably come Since up starting late I figured better just start Great idea I was gonna ask Adam to uh say if he thought anymore about the demo stuff because it occurred to me that this is late May and the DARPA meeting is in mid July Uh but I don't remember w what we I know that we were gonna do something with the transcriber interface is one thing but I thought there was a second thing Anybody remember Well we were gonna do a like question answering or something I thought that was totally separate from the interface Do you remember Remember like asking questions and retrieving but in a fashion Right That was the thing we talked about I think before the transcriber Come Yeah Alright So anyway you have to sort out that out and get somebody going on it cuz got a got a month left basically So You like these Right OK good OK Um OK So what are we g else we got You got you just wrote a bunch of stuff No That was all um previously here Oh I was writing the digits and then I realized I could xerox them oh because I didn't want people to turn their heads from these microphones So We all by the way have the same digit form for the record So cool Yeah So the choice is uh which which do we want more the the the comparison uh of everybody saying them at the same time or the comparison of people saying the same digits at different times that just cuz I didn't have any more digit sheets I know that So But you know which Yeah opportunity should we exploit Unison I mean Unison Actually it might be good to have them separately and have the same exact strings I mean we could use them for normalizing or something but it of course goes more quickly doing them in unison I guess don't see i I guess See dependent we on go how long we go and how good the snack is out there Yeah But anyway Get won't advance identical intelligence as somebody is saying zero in some sometimes Right know saying O and so Right not i not identical Yeah have to train be like a chorus Yeah have to get Greek chorus experience Yes Yeah Really boring chorus Um Do we have an agenda Adam usually tries to put those together but ill got So couple of things to talk about Yeah Uh ju what what might those be Uh IBM stuff and um just getting uh meeting information organized Meeting info organized OK Um Are you implying that currently disorganized In my mind Is there stuff happened about um uh the SRI recognizer et cetera tho those things that were happening before with Y y you Well guys were doing a bunch of experiments with different and then with Is is that still sort of where it was uh the other day improving improving Yeah the the You saw the note that the PLP now is getting basically the same as the Right MFCC Right Right Yeah Actually it looks like getting better Oh So But but Just with not age kind of With age Yeah Yeah Yeah But uh not d directly related to me Doesn't mean we can't talk about it Um it seems It looks l I haven't The The experiment is still not complete but um it looks like the vocal tract length normalization is working beautifully actually w using the warp factors that we computed for the SRI system and just applying them to the ICSI pretty funny Yeah So you OK need to copy over Just to to this take one the reciprocal of the number because OK they have different meanings in the two Ah systems Yeah Well always good to do Yeah OK OK Uh issue actually that Yeah just came up in discussion with Liz and and Don was um as far as meeting recognition is concerned um we would really like to uh move uh to uh doing the recognition on automatic segmentations Because in all our previous experiments we had the uh you know we were essentially cheating by having the um you know the h the as the basis of the recognition And so Mmm now So with segmenter on working so well I think we should consider doing a Yeah uh think doing But should increase Anyway error Yeah rate Good Yeah Yeah Yeah Yeah That what I wanted to do anyway Yeah so we should Yeah just And even together and The good thing is that since you um have high recall even if you have low precision cuz good because Yeah we could Right train noise models in the recognizer for these kinds of Yeah uh transients and things that come from the microphones but I know that if we run recognition unconstrained on a whole waveform we do very poorly because getting insertions in places Well Yeah that you may well be cutting out So we do need We some should kind of we should consider doing some extra things like um you know retraining or adapting the Mmm the models for background Yeah noise to the to this environment for Yeah instance And yeah using So you know posteriors or some kind of or right now discrete yes Yeah or no for a speaker to consider those particular speaker background models So Right lots of ins interesting things that Yeah be done Yeah We should do that So Good So uh why don't we uh do the IBM stuff You had some Yeah So um talked with Brian and gave him the alternatives to the single beep at the end of each utterance that we had Right generated before And so Chuck chunks Yeah Hmm The Chuck chunks Right And so he talked it over with the transcriber and the transcriber thought that the easiest thing for them would be if there was a beep and then the nu a number a Yeah digit and then a beep Yeah