results on digits that that people pay attention to we probably should uh Cuz had the problem before that you get show some nice improvement on something uh uh it seems like too large a number and uh uh people don't necessarily take it so seriously Um Yeah Yeah So the three point four percent for this uh is is uh So why is it an interesting question though still Why is why is it three point four percent for the d the digits recorded in this environment as opposed to the uh point eight percent for for for the original database Um Yeah th Given given point same I Yeah I So ignore ignoring the the the SRI system for a moment just looking at the the uh tandem system if getting point eight percent which yes high you know it not awfully high but you know high Um Why is it uh four times as high or more Yeah I guess Right I mean even though still there really is background noise Um And uh I suspect when the were recorded if somebody fumbled or said something wrong or something that they probably made them take it over It was Well not I mean there was no attempt to have it be realistic in any in any Yeah sense at all And acoustically q I listened quite different is very very clean and like studio recording whereas these Meeting Recorder digits sometimes you have breath noise and Mmm Right Yeah So I think they were not controlled at all Bless mean you Thanks I Yeah I think So But I think the indication harder Yeah Uh Yeah and again you know i true either way I mean so take a look at the uh um the SRI results I mean much much better but still getting something like one point three percent for uh things that are same data as in T the same same text Uh And uh sure the same same system would would get you know point point three or point four or something on the actual So Mmm I think on both systems the these digits are showing up as harder Um Which I find sort of interesting cause I think this is closer to uh I mean still read But I still think much closer to to what what people actually face um when dealing with people saying digits over the telephone I mean I don't think uh I mean sure they wouldn't release the numbers but I don't think that uh the uh the the companies that that do telephone speech get anything like point four percent on their digits sure they get Uh I mean for one thing people do phone up who don't have uh uh Middle America accents and a we we US it has has many people who sound in many different ways So Um I mean OK That was that topic What else we got Um Did we end But giving up on on any Eurospeech submissions or I know Thilo and Dan Ellis are are submitting something but uh Yeah I I guess e the only thing with these the Meeting Recorder and well So I think yeah I think we basically gave up Um Now actually for the for the Aur uh we do have stuff for Aurora right Because because we Yeah have ano an extra month or something Yeah So Yeah for sure we will Yeah do something for Well fine the So special so session Yeah so we have a couple a couple little things on Meeting Recorder and we have We don't we don't have to flood it with papers not trying to prove anything to anybody so fine Um Anything else Yeah Well So Perhaps the point is that been working on is yeah we have put the um the good VAD in the system and it really makes a huge difference Um So yeah I think yeah this is perhaps one of the reason why our system was not not the best because with the new VAD very the results are similar to the France Telecom results and Hmm perhaps even better sometimes Huh Um So there is this point Uh The problem is that very big and we still have to think how to where to put it and um because it it well this VAD uh either some delay and we if we put it on the server side it doesn't work because on the server side features you already have LDA applied from the f from the terminal side and so you accumulate the delay so the VAD should be before the LDA which means perhaps on the terminal side and then smaller and So So wha where did this good VAD come from um from OGI So the network trained the network with the huge amounts on hidden of hidden units and um nine input frames compared to the VAD that was in the proposal which has a very small amount of hidden units and fewer inputs This is the one they had originally Yeah Oh Yeah but they had to get rid of it because of the space didn't Yeah they So Yeah But the abso assumption is that we will be able to make a VAD small and that works fine And Well So So we can problem Yeah Yeah but nnn But the other thing is uh to use a different VAD entirely I mean uh i if if a if if I I don't know what the thinking was amongst the the the the ETSI folk but um if everybody agreed sure use this VAD and take that They out just there want apparently they don't want to fix the VAD because they think there is some interaction between feature extraction and and VAD or frame dropping But they still want to just to give some um requirement for this VAD because it will not be part of they don't want it to be part of the standard OK So it must be at least uh somewhat fixed but not completely So there just will be some requirements that are still not uh not yet Determined think I see Nnn But I was thinking that that uh s Sure there may be some interaction but I don't think we need to be stuck on using our or VAD We could use somebody if smaller or Yeah You know as long as it did the job So good Uh So there is this thing There is um Yeah Uh I designed a new a new filter because when I designed other filters with shorter delay from the LDA filters there was one filter with fif sixty millisecond delay and the other with ten milliseconds and Right uh Hynek suggested that both could have I think Yeah Yeah Both should have because Yeah You didn't gain anything And So I did that and uh running So see what will happen Uh but the filter is of course closer to the reference filter Mmm Um Yeah I think