Oh ! You know , the other thing is when you say comb I 'm  I 'm sorry , I 'm interrupting.  that u Um , uh , when you 're talking about combining multiple features , um  Suppose we said , " OK , we 've got these different features and so forth , but PLP seems  pretty good. " If we take the approach that Mike did and have
Mm - hmm.
I mean , one of the situations we have is we have these different conditions. We have different languages , we have different   different noises , Um  If we have some drastically different conditions and we just train up different M L Ps  with them.
And put  put them together. What  what  What Mike found , for the reverberation case at least , I mean  I mean , who knows if it 'll work for these other ones. That you did have nice interpolative effects. That is , that yes , if you knew  what the reverberation condition was gonna be and you trained for that , then you got the best results. But if you had , say , a heavily - reverberation ca heavy - reverberation case and a no - reverberation case , uh , and then you fed the thing , uh something that was a modest amount of reverberation then you 'd get some result in between the two. So it was sort of  behaved reasonably. Is tha that a fair  Yeah.