So. um  But you 'd get all the other distinctions , you know , randomly wrong. I mean there 'd be nothing to tell you that. So um  uh If you just do this by counting , then you should be able to find out in a pretty straightforward way whether you have a sufficient uh set of events to  to do the kind of level of   of uh classification of phones that you 'd like. So that was  that was the idea. And then the other thing that we were discussing was  was um  OK , how do you get the  your training data.
Mm - hmm.
Cuz uh the  Switchboard transcription project uh uh you know was half a dozen people , or so working off and on over a couple years , and uh similar   similar amount of data  to what you 're talking about with TIMIT training. So , it seems to me that the only reasonable starting point is uh to automatically translate the uh current TIMIT markings into the markings you want. And uh  it won't have the kind of characteristic that you 'd like , of catching funny kind of things that maybe aren't there from these automatic markings ,
Mm - hmm.