Yeah I gu I guess my point is that um i in some of the work doing in reverberation one of the things that finding is that uh for the for an artificial situation we can just deal with the reverberation and his techniques work really well But for the real situation uh problem is is that you don't just have reverberation you have reverberation in noise And if you don't include that in the model it doesn't work very well So in fact it might be a very nice thing to do to just take the noise removal part of it and put that in front of what looking at And uh generate new files or whatever and and uh uh and then do the reverberation part So Mmm Anyway So Dave hasn't tried that yet No no I mean e I guess busy with Yeah prelims Yeah Yeah So Yeah Uh but but you know uh clear that we uh we are not with the real case that looking at we can't just look at reverberation in isolation because the interaction between that and noise is is considerable And I mean in the past looked at uh and this is hard enough the interaction between channel effects and and uh and additive noise uh so convolutional effects and and additive effects And hard enough I mean I don't think we really I mean trying to deal with that In a sense what trying to deal with in this Aurora task And we have uh the uh uh LDA stuff that in principle is doing something about convolutional effects And we have the noise suppression doing something about noise Uh even hard enough And and the normalization as well in that s category i i all these interactions between these two and part of why these guys had to work so hard on on juggling everything around But now when you throw in the reverberation even worse because not only do you have these effects but you also have some long time effects And um so Dave has something which uh is doing some nice things under some conditions with with long time effects but when when noise there too pretty hard So we have to start Since any almost any real situation is gonna have uh where you have the microphone distant is going to have both things we we actually have to think about both at the same time Hmm So um So this noise suppression thing which is sort of worked out and then uh maybe you should just continue telling what what else is in the Yeah well the form we have the um the other parts of the system are the the blocks that were already present before and that we did not modify a lot So again that the Wiener filtering followed by uh uh done at the FFT level Then Yeah th then the mel filter bank then the log operation Mmm The the the filtering is done in the frequency domain Yeah Yeah OK And then the mel and then the log and then the LDA filter LDA filter mmm And then uh downsampling downsample DCT DCT then um normalization norm followed by upsampling Then finally we compute delta and we put the neural network also Right and then in parallel with an a neural net And then following neural net some probably some orthogonalization Uh Um And finally frame dropping which um would be a neural network also used for estimated silence probabilities And the input of this neural network would be somewhere between log mel bands or one of the earlier stages of the sort processing most of this stuff is yeah is operating parallel with this other stuff Yeah So the things that we um uh I guess we sort of uh some uh neat ideas for So I mean in I think sort of like a bunch of tuning things to improve stuff questions about various places where an exponent if the right exponent or ways that estimating noise that we can improve estimating noise And gonna be a host of those But structurally it seemed like the things the main things that that we brought up that uh are are gonna need to get worked on seriously are uh uh a a significantly better VAD uh putting the neural net on um which you know we haven't been doing anything with the uh neural net at the end there and uh the uh opening up the second front Uh The other half of the channel That what you mean Yeah yeah I mean cuz we we have we have uh uh half the the uh data rate that they allow And uh so the initial thing which came from uh the meeting that we had down south was uh that um initially just put in a mel spectrum as the second one you know cheap easy Uh a question about exactly how we do it We probably will go to something better later but the initial thing is that cepstra and spectra behave differently so Um I think Tony Robinson used to do I was saying this before I think he used to do mel uh spectra and mel cepstra He used them as alternate features Hmm Put them together Uh So if you took the system the way it is now the way fro gonna freeze it and it ran it on the last evaluation where it would it be It In terms uh of ranking Second right now second Um Although you you know you haven't tested it actually on the German and Danish have you No we didn't No um Yeah So on the ones that you did test it on it would have been second Yeah Would it I mean But When saying second comparing to the numbers that the uh that the best system before got on uh also without German and Danish yeah Yeah OK And th the ranking actually didn't change after the German and Danish So yeah Well ranking didn't before but just asking Yeah where this is to Yeah where theirs was Yeah without Mmm German and Danish right So where where were we actually on the last test Oh we were also esp essentially second although there were there were I mean we had a couple systems and they had a couple systems And so I guess by that we were third but I mean there were two systems that were pretty close I see that came from the same place OK Uh so institutionally we were we were second with uh the third so this third second that saying now is See second Uh no I think also institutional Still isn't institutionally mean second both of their systems probably are between their two systems Oh are So I Yeah It is a triumph it their first system is point something And uh we are point something And everything second is system is also within the range point of something one Yeah one percent percent Yeah wow so so basically very So close Yeah Yeah