I mean it seems to me if you have exactly the right thing then better to do it without the net because otherwise asking the net to learn this you know say if you wanted to learn how to do multiplication I mean you could feed it a bunch of s you could feed two numbers that you wanted to multiply into a net and have a bunch of nonlinearities in the middle and train it to get the product of the output and it would work But kind of crazy cuz we know how to multiply and you be you know much lower error usually if you just multiplied it out But suppose you don't really know what the right thing is And what these sort of dumb machine learning methods are good at So Um Anyway just a thought How long does it take Carmen to train up one of these nets Oh not too much Yeah Mmm one day or less Hmm Yeah probably worth it What are what are your f uh frame error rates for Eh this six uh no the frame error rate O I think Is Percent accuracy The accuracy percent accurate for v No for yes f I don't remember for Oh OK maybe for the other one Yeah OK voiced I don't hopefully Should a be lot in better nineties somewhere Maybe for Right This is for the other one I should I can't OK show that But I think that was for the when the output are the phone That I look in the with the other nnn the other MLP that we have are more or less the same number Silence will be better but more or less the same I think at the frame level for that was the kind of number we were getting for for uh um reduced band width uh I think that stuff I think that for the other one for the three output is sixty sixty three more or less all Yeah pretty bad Yeah because noise also Aha Oh yeah we have Aha Yeah I know Yeah OK But even i in Oh yeah in training Still Uh Well actually so this is a test that you should do then Um if getting percent over here uh in noise also right Yeah yeah yeah Oh OK If getting here try adding together the probabilities of all of the voiced phones here and all of the will unvoiced phones and see what you get then Yeah I bet you get better than Well I don't know but I th I I think that we I have the result more or less Maybe I don't know I don't not sure but I remember that I can't show that OK but a That is a a good check point you should do Yeah that anyway OK Given this this uh regular old net just for choosing for other purposes uh add up the probabilities of the different subclasses and see see how well you do Uh and that you know anything that you do over here should be at least as good as that OK I will do that The But targets for the neural net uh they come from forced alignments Uh no TIMIT canonical TIMIT ma mappings Ah Oh So OK is trained on TIMIT Yeah Yeah OK noisy TIMIT this for TIMIT But noisy TIMIT Noisy Right TIMIT We have noisy TIMIT with the noise of the the And now we have another noisy TIMIT also with the noise of uh Italian database I see Yeah Well gonna be it looks like gonna be a noisy uh some large vocabulary noisy stuff too Really preparing Yeah I forget what be resource management Wall Street Journal something Some some read task actually that Hmm preparing what For Aurora Yeah Oh Yeah so the uh Uh the issue is whether people make a decision now based on what already seen or they make it later And one of the arguments for making it later is make sure that whatever techniques that using work for something more than than connected digits Hmm So When are they planning When would they do that Mmm I think late uh I think in the summer sometime Hmm So OK thanks This is the work that I did during this date and also mmm I H Hynek last week say that if I have time I can to begin to to study well seriously the France Telecom proposal to look at the code and something like that to know exactly what they are doing because maybe that we can have some ideas but not only to read the proposal Look insi look i carefully what they are doing with the program and I begin to to work also in that But the first thing that I don't understand is that they are using R the uh log energy that this quite I don't know why they have some constant in the expression of the lower energy I don't know what that means They have a constant in there Yeah you said Oh at the front it says uh log energy is equal to the rounded version of sixteen over the log of two Yeah Uh Then uh maybe times I the can this understand log and maybe it has something to do with the fact that this is Is I some I kind have of no base idea conversion or Yeah what I was thinking but but um then the Uh I don't know Because maybe the Experimental threshold that they are using on the Mc basis of constant value I don't know exactly because well th I thought maybe they have a meaning But I don't know what is the meaning of take exactly this value Yeah pretty funny looking taking don't the know number inside the log and raising it to sixteen over log base two Yeah I um Right Sixteen over it have to do with those or two Um If we ignore the sixteen the natural log of t one over the natural log of two times the natu I don't know Well maybe think of something but this is uh It may just be that they they want to have for very small energies they want to have some Yeah the kind e of a The effect I don't I can understand the effect of this no because to to do something like that No it says since taking a natural log it says that when when you get down to essentially zero energy this is gonna be the natural log of one which is zero So go down to uh to the natural log being So the lowest value for this would be zero So y restricted to being positive And this sort of smooths it for very small energies Uh why they chose and something else that was probably just experimental Yeah And the the the constant in front of it I have no idea um