OK on OK what are we talking about today I don't know Do you have news from the conference talk Uh that Uh was Yesterday programmed for yesterday I guess Uh Yesterday morning on video conference Uh Well oh Oh Conference sorry call know now I know what talking about No told me anything Alright Oh this was the uh talk where they were supposed to try To to decide to decide what to do yeah Yeah Ah Yeah right No that would have been a good thing to find out before this meeting No I have no I have no idea Um Uh so I mean assume for right now that just kind of plugging on ahead because even if they tell us that uh the rules are different uh still interested in doing what doing So what are you doing Uh well a little bit worked on trying to see To improve were the bugs and the problem with the latencies So We took first we took the LDA filters and uh we designed new filters using uh recursive filters actually So when you say we is that something Sunil is doing or is that sorry Who is doing that Uh us Oh Yeah oh Oh But OK So we took the filters the FIR filters and we designed uh IIR filters that have the same frequency response Well similar but that have shorter delays So they had two filters one for the low frequency bands and another for the high frequency bands And so we redesigned two filters And the low frequency band has milliseconds of delay and the high frequency band filter has something like eleven milliseconds compared to the two hundred milliseconds of the IIR filters But not yet test So we have the filters but we still have to implement OK routine that does recursive filtering and you had a discussion with Sunil about this though No No Yeah you should talk with him Yeah yeah Yeah No I mean because the the the the whole problem that happened before was coordination right So so you need to discuss with him what doing Yeah uh cuz they could be doing the same thing and or something Uh I yeah I don't know if th what they were trying to Right They were trying to do something different like taking uh well using filter that takes only a past and this is just a little bit different But I will I will send him an email and tell him exactly what we are doing so Yeah yeah Um I Um We just we just have to be in contact more I think that the the fact that we we did that with had that thing with the latencies was indicative of the fact that there wasn't enough communication So OK Alright Um Yeah Well there is w one um remark about these filters that they don't have a linear phase So Well I don't know perhaps it perhaps it doesn't hurt because the phase is almost linear but Um and so yeah for the delay I gave you here uh computed on the five hertz modulation frequency which is the mmm well the most important for speech so Uh this is the first thing The low f So f uh a reduction of a hundred and milliseconds Yeah which uh What was the total we ended up with through the whole system Three hundred and thirty So that would be within Yeah but there are other points actually uh which will perhaps add some more delay Is that some other other stuff in the process were perhaps not very um perf well not very correct like the downsampling which w was simply dropping frames Yeah Um so we will try also to add a nice downsampling having a filter that that well a filter at at hertz Uh because wh when when we look at the LDA filters well they are basically but they leave a lot of above hertz Yeah Um and so yeah this will be another filter which would add ten milliseconds again Yeah Um yeah and then a third thing is that um basically the way normalization was done uh is just using this recursion Yeah on on the um um on the feature stream and but this is a filter so it has also a delay Uh and when we look at this filter actually it has a delay of milliseconds So if we Yeah If we want to be very correct so if we want to the estimation of the mean t t to to be well the right estimation of the mean we have to t to take milliseconds in the future Mmm Hmm a little bit of a problem Yeah Um But well when we add up everything it will be alright We would be at six so plus ten plus for the downsampling plus for the normalization So Uh yeah but then plus plus eighty for the neural net and Oh PCA So it would be around two hundred and forty so well Just just barely plus in the there frames but OK the allowable unless they changed the rules Hmm Which there is some discussion of But What Yeah thinking of changing it to Uh well the people who had very low latency want it to be low uh very very very narrow uh latency bound And the people who have longer latency don't So Huh So Unfortunately the main ones with long latency but Ah But uh you know and basically the best proposal had something like thirty or forty milliseconds of Yeah latency So Well Yeah so they were basically I mean they were more or less trading computation for performance and we were uh trading latency for performance And they were dealing with noise explicitly and we weren't and so I think of it as complementary that if we can put of the it as what Complementary Hmm I think the best systems so uh everything that we did in in a way it was it was just adamantly insisting on going in with a brain damaged system which is something actually done a lot over the last thirteen years Uh which is we say well this is the way we should do it And then we do it And then someone else does something straight forward So w th w this was a test that largely had additive noise and we did we adde did absolutely nothing explicitly to handle ad additive noise Right We just uh you know trained up systems to be more discriminant And uh we did this uh filtering which was done in the log domain and was tending to handle convolutional noise We did we actually did nothing about additive noise So um the uh spectral sub subtraction schemes a couple places did seem to seem to do a nice job And so uh talking about putting putting some of that in while still keeping some of our stuff I think you should be able to end up