Yea
I see. Well , see , i oc You were doing some something that was  So maybe the analogy isn't quite right. You were doing something that was in way a little better behaved. You had reverb for a single variable which was re uh , uh , reverberation. Here the problem seems to be is that we don't have a hug a really huge net with a really huge amount of training data. But we have s f  for this kind of task , I would think ,  sort of a modest amount. I mean , a million frames actually isn't that much. We have a modest amount of  of uh training data from a couple different conditions , and then uh  in  yeah , that  and the real situation is that there 's enormous variability that we anticipate in the test set in terms of language , and noise type uh , and uh ,  uh , channel characteristic , sort of all over the map. A bunch of different dimensions. And so , I 'm just concerned that we don't really have  um , the data to train up  I mean one of the things that we were seeing is that when we added in  we still don't have a good explanation for this , but we are seeing that we 're adding in uh , a fe few different databases and uh the performance is getting worse and uh , when we just take one of those databases that 's a pretty good one , it actually is  is  is  is  is better. And uh that says to me , yes , that , you know , there might be some problems with the pronunciation models that some of the databases we 're adding in or something like that. But one way or another  we don't have uh , seemingly , the ability  to represent , in the neural net of the size that we have , um , all of the variability  that we 're gonna be covering. So that I 'm  I 'm  I 'm hoping that um , this is another take on the efficiency argument you 're making , which is I 'm hoping that with moderate size neural nets , uh , that uh if we  if they look at more constrained conditions they  they 'll have enough parameters to really represent them. Mm - hmm. Mm - hmm. Mm - hmm. Yeah.
So doing both is  is not  is not right , you mean , or  ? Yeah.
Yeah. I  I just sort of have a feeling