And then uh he does some fine tuning um for um special cases. Yeah.
Yeah. I mean we ha we have a kind of  iterative training because we do this embedded Viterbi , uh so there is some something that 's suggested , based on the data but it 's  it 's not  I think it s doesn't seem like it 's quite the same , cuz of this  cuz then whatever  that alignment is , it 's that for all  all bands.
Mm - hmm.
Well no , that 's not quite right , we did actually do them separate  tried to do them separately so that would be a little more like what he did. Um. But it 's still  not quite the same because then it 's  it 's um setting targets based on where you would say  the sound begins in a particular band. Where he 's s this is not a labeling per se. Might be closer I guess if we did a  soft  soft target uh  uh embedded  neural net training like we 've done a few times uh  f the forward um  do the forward calculations to get the gammas and train on those. Mmm. Uh what 's next ?