Mm - hmm.
Um.
Do you have something simple in mind for  I mean , vocal tract length normalization ?
Uh no. I hadn't  I hadn't thought  it was  thought too much about it , really. It just  something that popped into my head just now. And so I  I  I mean , you could maybe use the ideas  a similar  idea to what they do in vocal tract length normalization. You know , you have some sort of a , uh , general speech model , you know , maybe just a mixture of Gaussians that you evaluate every utterance against , and then you see where each , you know , utterance  like , the likelihood of each utterance. You divide the  the range of the likelihoods up into discrete bins and then each bin 's got some knob  uh , setting.