Mm - hmm.
And you initialize these parameters , um , in some  some way and use EM to come up with your training targets for a  for the  the low - level detectors.
Mm - hmm.
And then , once you get that done , you  you  you train the whole  whole thing on maximum likelihood. Um , and h he shows that using this  this method to detect sonorance is it 's very robust compared to , um   to typical , uh , full - band Gaussian mixtures um estimations of  of sonorance.