I see.
Mm - hmm.
Yeah. So wh yeah , where this fits into the rest in  in my mind , I guess , is that um  we 're looking at different ways that we can combine  uh different kinds of  of rep front - end representations  um in order to get robustness under difficult or even , you know , typical conditions. And part of it , this robustness , seems to come from  uh multi - stream or multi - band sorts of things and Saul seems to have  a reasonable way of looking at it , at least for one    one um articulatory feature. The question is is can we learn from that  to change some of the other methods we have , since  I mean , one of the things that 's nice about what he had I thought was that  that it  it um  the decision about how strongly to train the different pieces is based on uh a  a reasonable criterion with hidden variables rather than  um just assuming  that you should train e e every detector uh with equal strength  towards uh it being this phone or that phone. Right ? So it  so um  he 's got these um uh uh
Hmm.