Professor A: Oh , yeah .
Postdoc H: Now , I mean , you know , it 's true , I mean , we were discussing this earlier , that depending on the task so if you 've got someone giving a report you 're not gonna have as much overlap .
PhD F: Adam !
Postdoc H: But , um , i i uh , so we 're gonna have s you know , non - overlapping samples anyway . But , um , in a meeting which would otherwise be highly overlapping , is the near - field mike enough or should we have some rules of participation for some of our samples to lessen the overlap ?
Professor D: Hmm .
PhD E: turn off
Professor A: I don't think we should have rules of participation , but I think we should try to get a variety of meetings . That 's something that if we get the the meeting stuff going at UW , that I probably can do more than you guys ,
Postdoc H: OK .
Professor A: cuz you guys are probably mostly going to get ICSI people here . But we can get anybody in EE , uh , over Professor D: Mm - hmm .
Professor A: and and possibly also some CS people , uh , over at UW . So , I think that that there 's a good chance we could get more variety .
Postdoc H: OK . Just want to be sure there 's enough data to Professor A: Um ,
PhD B: They 're still gonna overlap ,
Postdoc H: OK , good .
PhD B: but Mark and others have said that there 's quite a lot of found data {comment} from the discourse community that has this characteristic and also the political Y you know , anything that was televised for a third party has the characteristic of not very much overlap .
Professor D: Mm - hmm .
Professor A: Mm - hmm .
Professor D: Wasn - but w I think we were saying before also that the natural language group here had less overlap .
Postdoc H: Mm - hmm .
PhD B: So .
Professor D: So it also depends on the style of the group of people .
Professor A: Right .
PhD B: Like the , um , dominance relations of the people in the meeting .
Postdoc H: Mm - hmm . On the task , and the task .
Grad G: Mm - hmm .
Postdoc H: It 's just I just wanted to uh ,
Professor D: Yeah .
Postdoc H: because you know , it is true people can modify the amount of overlap that they do if if they 're asked to .
Professor D: Yeah .
Postdoc H: Not not entirely modify it , but lessen it if if it 's desired . But if if that 's sufficient data I just wanted to be sure that we will not be having a lot of data which can't be processed .
Professor A: OK . So I 'm just writing here , we 're not gonna try to specify rules of interaction but we 're gonna try to get more variety by i using different groups of people
Postdoc H: Time .
Professor A: and different sizes .
Postdoc H: Fine . And I you know , I I know that the near f near - field mikes will take care of also the problems to s to a certain degree .
Professor A: e e Yeah . And then the other thing might be , um , uh , technical versus administrative .
Postdoc H: I just wanted to be sure .
Professor A: Cuz if I recorded some administrative meetings then that may have less overlap , because you might have more overlap when you 're doing something technical and disagreeing or whatever .
Postdoc H: Mm - hmm . Mm - hmm . Well , I just as as as a contributary eh , so I I know that in l in legal depositions people are pr are prevented from overlapping . They 'll just say , you know you know , " wait till each person is finished before you say something " . So it is possible to lessen if we wanted to . But but these other factors are fine . I just wanted to raise the issue .
Professor A: Well , the reason why I didn't want to is be why I personally didn't want to {comment} is because I wanted it to be as , uh , unintrusive as possi
Postdoc H: Mm - hmm . Mm - hmm .
Professor A: as you could be with these things hanging on you .
Postdoc H: Oh , yeah . Yeah , I think that 's always desired . I just want to be sure we don't that we 're able to process , i u uh , you know , as much data as we can . Yeah .
Professor D: Yeah . Did they discuss any of that in the the meeting they had with L Liberman ?
PhD B: Mm - hmm .
Professor D: What PhD B: And there was a big division ,
Professor D: What what do they PhD B: so Liberman and others were interested in a lot of found data .
Professor D: Yeah .
PhD B: So there 's lots of recordings that They 're not close - talk mike ,
Professor D: Yeah .
PhD B: but And and there 's lots of television , you know , stuff on , um , political debates and things like that , congre congressional hearings . Boring stuff like that . Um , and then the CMU folks and I were sort of on the other side in cuz they had collected a lot of meetings that were sort of like this and said that those are nothing like these meetings . Um , so there 're really two different kinds of data . And , I guess we just left it as @ @ {comment} that if there 's found data that can be transformed for use in speech recognition easily , then of course we would do it ,
Professor D: Mm - hmm .
PhD B: but newly collected data would would be natural meetings . So .
Professor D: Actually , th @ @ {comment} the CMU folk have collected a lot of data . Is that is that going to be publicly available ,
PhD B: As far as I know , they h have not .
Professor D: or ?
PhD B: Um , but e
Professor D: OK .
Grad G: It 's also it 's not it 's not near - far , right ?
PhD B: I 'm not sure . Um , if people were interested they could talk to them , but I I got the feeling there was some politics involved .
Grad G: I think @ @ gonna add that to one of my action items .
PhD B: No .
Professor D: Just to check .
PhD B: I I don't know .
Professor D: Yeah . W we should know what 's out there certainly .
Grad G: Yeah .
PhD B: I mean , the Professor D: Yeah .
Grad G: Cuz I had thought they 'd only done far - field ,
PhD B: I think you need to talk to Waibel and Grad G: intelligent - room sorts of things .
PhD E: Oh , really ? It 's those guys .
Grad G: I hadn't known that then they 'd done any more than that .
Professor D: Oh , they only did the far - field ? I see .
Grad G: Yeah .
PhD B: But they had multiple mikes and they did do recognition , and they did do real conversations . But as far as I know they didn't offer that data to the community at this meeting .
Grad G: Mm - hmm .
PhD B: But that could change cuz Mark you know , Mark 's really into this . We should keep in touch with him .
Professor D: Yeah . Well , once we send out Postdoc H: Yeah , I think Professor D: I mean , we still haven't sent out the first note saying " hey , this list exists " . But but , uh , once we do that Professor A: Is that an action item ?
Professor D: Yeah . It 's on I already added that one on my board to do that . So , uh uh , hopefully everybody here is on that list . We should at least check that everybody here ?
Grad G: I think everyone here is on the list .
Professor D: Yeah .
PhD F: I 'm not .
Postdoc H: u e e
Grad G: I think you are .
Professor D: We haven't sent anything to the list yet .
PhD F: Oh ! OK .
Postdoc H: Yeah .
Professor D: We 're just compiling the list .
PhD F: I see .
Grad G: I I added a few people who didn't who I knew had to be on it even though they didn't tell me .
Professor D: Mm - hmm .
PhD E: Who specifically ask not to be .
Grad G: Like Jane , for example .
Professor D: Yeah .
Grad G: You are on it , aren't you ?
Postdoc H: Yeah , I am .
Professor D: Yeah .
Postdoc H: So , I w uh , just just for clarification . So " found data " , they mean like established corpora of linguistics and and other fields , right ?
PhD B: What they mean is stuff they don't have to fund to collect ,
Postdoc H: It sounds like such a t
PhD B: and especially good Postdoc H: Yeah , OK .
PhD B: Well , I mean , " found " has , uh , also the meaning that 's it very natural . It 's things occur without any You know , the pe these people weren't wearing close - talking mikes , but they were recorded anyway , like the congressional hearings and , you know , for legal purposes or whatever .
Postdoc H: OK . But it includes like standard corpora that have been used for years in linguistics and other fields .
PhD B: Mark 's aware of those , too .
PhD E: " Hey , look what we found ! "
Postdoc H: OK .
PhD B: That would be found data because they found it and it exists .
Grad G: Hmm .
Postdoc H: Exactly .
PhD E: " I found this great corpora . " Yeah .
PhD B: They didn't have to collect it . Of course it 's not " found " in the sense that at the time it was collected for the purpose .
Grad G: " Psst . {comment} Want to buy a corpora ? "
Postdoc H: Yeah . OK , OK .
PhD B: But what he means is that You know , Mark was really a fan of getting as much data as possible from you know , reams and reams of stuff , of broadcast stuff ,
Postdoc H: That 's interesting .
PhD B: web stuff ,
Postdoc H: Mm - hmm .
PhD B: TV stuff , radio stuff . But he well understands that that 's very different than these this type of meeting .
Grad G: It 's not the same .
PhD B: But , so what ? It 's still it 's interesting for other reasons .
Postdoc H: OK . Yeah . Just wanted to know .
Professor D: So , seems like we 're winding down .
Professor A: Mm - hmm .
Professor D: Right ? Many ways .
PhD B: You can tell by the prosody .
PhD E: So we should go go around and s
Professor A: Yeah .
PhD E: We should go around and say something interesting that happened at the meeting ?
Professor A: Oh . Yes , we should do that .
PhD B: Rrrh !
Grad G: Now , I was already thinking about it , so Professor D: Oh ! Good man .
PhD B: This is painful task .
Professor C: Hmm .
PhD B: I Grad G: So , um , I really liked the idea of what I thought was interesting was the combination of the CrossPad and the speech . Especially , um , the interaction of them rather than just note - taking . So , can you determine the interesting points by who 's writing ? Can you do special gestures and so on that that have , uh , special meaning to the corpora ? I really liked that .
Postdoc H: Well , I I just realized there 's another category of interesting things which is that , um , I I found this discussion very , uh , i this this question of how you get at queries really interesting . And and the and I and the fact that it 's sort of , uh , nebulous , what what that what kind of query it would be because it depends on what your purpose is . So I actually found that whole process of of trying to think of what that would involve to be interesting . But that 's not really a specific fact . I just sort of thought we we went around a nice discussion of the factors involved there , which I thought was worthwhile .
PhD E: I had a real revelation about taking pictures . I don't know why I didn't do this before and I regret it . So that was very interesting for me .
Postdoc H: Mm - hmm .
Grad G: Did you take pictures of the boards ?
PhD E: Not that I Postdoc H: Yeah .
PhD E: The boards aren't really related to this meeting . I mean , I will take pictures of them , but Postdoc H: That 's a good point .
Professor A: They 're related to this morning 's meeting .
PhD E: But Postdoc H: Yeah .
Grad G: To the pre previous meeting . That 's right .
PhD E: OK . Well , that 's why I 'll take pictures of them , then .
PhD F: I 'm gonna pass because I can't I mean , of the Jane took my answer .
Grad G: Ah !
PhD F: So .
Postdoc H: Oh .
PhD F: Um , so I 'm gonna pass for the moment but y come come back to me .
PhD E: For the moment .
PhD B: Pass .
Professor A: I think I think " pass " is socially acceptable . But I will say uh , I will actually uh , a spin on different slightly different spin on what you said , this issue of , uh , realizing that we could take minutes , and that actually may be a goal . So that that may be kind of the test in a sense , test data , uh , the the template of what we want to test against , generating a summary . So that 's an interesting new twist on what we can do with this data .
Professor C: I agree with Jane and Eric . I think the question of how to generate queries automatically was the most interesting question that came up , and it 's something that , as you said , is a whole research topic in itself , so I don't think we 'll be able to do anything on it because we don't have funding on it , uh , in this project . But , um , it 's definitely something I would want to do something on .
Grad G: I wonder if work 's already been done on it .
Postdoc H: Like e expert systems and stuff ,
Professor D: Hmm .
Postdoc H: or ? Uh - huh .
Professor D: Well , being more management lately than  than research , I think the thing that impressed me most was the people dynamics and not any of the facts . That is , I I really enjoyed hanging out with this group of people today . So that 's what really impressed me .
PhD E: How are we gonna find that in the data ?
Grad G: Well , if we had people wearing the wireless mikes all the time PhD E: Oh , yeah .
Grad G: Yeah , I think PhD F: Well , I mean , one thing you could search for is were people laughing a lot .
PhD E: Right .
PhD F: Right ? So .
Professor D: Yeah .
PhD E: How happy were they ?
Professor D: I 'd probably search for something like that .
Grad G: That actually has come up a couple times in queries . I was talking to Landay
Professor D: Yeah .
Grad G: and that was one of his examples .
Professor D: Yeah .
Grad G: When when did people laugh ?
PhD E: That 's great .
Professor D: Find me a funny thing that Jeff said . Yeah .
Grad G: So we need a laugh detector .
PhD E: Yeah .
Professor A: Mm - hmm .
PhD E: Perfect .
Postdoc H: Yeah .
Grad G: Cuz that seems to be pretty common . Not in the congressional hearings .
PhD F: No .
Grad G: Quiet sobbing .
Professor D: So I think we 're done .
Professor A: OK .