Mm - hmm.
And , uh , one for silence and  and another one for schwa  schwa sounds. Um , and , um , I was thinking about ways to  to generalize this because w you 're  it 's sort of like a  it 's not a completely automatic way of clustering , because yo beforehand you have these  these TRAPS and you 're saying that  that these frames correspond to this particular phoneme. Um , and that 's  that 's constraining your  your clustering to  to the set of phonemes that you already have. Um , whereas maybe we want to just take  take a look at , um , arbitrary windows in time , um , of varying length , um , and cluster those.
Mm - hmm.
And I 'm thinking if we  if we do that , then we would probably , um , at some point in the clustering algorithm find that we 've clustered things like , OK , thi this is a transition , um , this is a relatively stable  stable point.