Yep And then I wanted to talk about but as I said I we may not have time what we should do about digits We have a whole pile of digits that haven't been transcribed talk about it because something that I I know Andreas is less interested in than OK Liz is so you we know anything else good to say about transcription About IBM stuff Uh Brian I I sent bresset sent Brian a message about the meeting and I haven't heard back yet So OK I g Hmm hope he got it and hopefully maybe gone I dunno He didn't even reply to my message So I should probably ping him just to make sure that he got it Alright So we have a whole bunch of digits if we wanna move on to digits Actually maybe I One one relate more related thing in transcription So the IBM stuff got that sorted out Um we doing on the on the rest of it doing well I I hire hired two extra people already expect to hire two more And um prepared um uh a set of five which which calling set two which are now being edited by my head transcriber in terms of spelling errors and all that also checking through and mar and and monitoring um the transcription of another transcriber You know I mean going through and doing these kinds of checks And moved on now to what calling set three I sort of thought if I do it in sets groups of five then I can have like sort of a a parallel processing through through the the current And and you indicated to me that we have a g a goal now for the for the um the uh DARPA demo of twenty hours So gonna go up to twenty hours be sure that everything gets processed and released and and what my goal is Package of twenty hours right now and then once done move on to the next Yeah uh so twenty hours But I guess the other thing is that um that kinda twenty hours ASAP because the longer before the demo we actually have the twenty hours the more time be for people to actually do cool things with it So Good hiring people who OK uh really are They would like to do it several of these people And and I don't think possible really to do this but that what it shows is motivation accuracy many hours as possible Yeah Yeah And Well really good excellent Yeah Yeah I mean I Got guess core group the now So the difference if if um if the IBM stuff works out the difference in the job would be that they p primarily would be checking through things that were already done by someone else Is that And most correcting it I mean Correcting expect that have to move some time bins and do some corrections And I you know also d uh discovered So with the new transcriber um So Uh lemme say that my uh So um At present um the people have been doing these transcriptions a channel at a time And that sort of um is useful and t you know and then once in a while have to refer to the other channels to clear something up OK Well I realize that um w i we using the version and um the version is extremely useful and wouldn't it be useful also to have the visual representation of those segments And so uh I uh uh trained the new one uh the new the newest one to um use the visual from the channel that is gonna be transcribed at any given time And just amazingly helpful Because what happens then is you scan across the signal and once in a while find a blip that didn't show up in the Oh right I see And what you mean be something like I ver interesting backchannel or Once in a while a Yep backchannel Sometimes it seems to be um similar to the ones that are being picked up And rare events but you can really go through a meeting very quickly You just you just you know yo you s you scroll from screen to screen looking for blips And Yeah think that gonna end up with uh better coverage of the backchannels but at the same time benefitting tremendously from the because there are huge places where there is just absolutely no activity at all And uh the audio quality So so they good can they can um scroll through that pretty quick Yeah great Yeah So I think that gonna also eh you know speed the efficiency of this part of the process Hmm OK Uh yeah So uh Yeah So talk about the digits since not here yet Uh so we have a whole bunch of digits that read and we have the forms and so on um but only a small number of that ha well not a small number only a subset of that has been transcribed And so we need to decide what we wanna do And uh Liz and Andreas actually not here but they did say at one point that they thought they could do a pretty good job of just doing a forced alignment And again I don't think be able to do with that alone because um sometimes people correct themselves and things like that But so I was just wondering what people thought about how automated can we make the process of finding where the people read the digits doing a forced alignment and doing the timing Well forced alignment would be one thing What about just actually doing recognition Well we we know what they read because we have the forms No they make mistakes Right But the point is that we wanna get a set of clean digits Right talking about as a step Right Morgan Um Is that Yeah not quite sure what talking about I mean I I mean uh talking about digits now And and so um a bunch of stuff that hasn't been marked yet Uh And um one option the i issue that that they we know what what was said but do we Because people make mistakes and stuff I was just asking just out of curiosity if if with uh uh the SRI recognizer getting one percent word error uh would we would we do better So if you do a forced alignment but the force but the but the transcription you have is wrong because they actually made mistakes uh or But pretty starts much less c much less common than one percent Um if we could really get one percent on Well We I should guess able yeah to guess Right if we segmented it we could get one percent on digits Yeah So just my question But not saying it should be one way or the other but Well If