Mm - hmm.
I mean , it 's really important to  pick a normalization that matches the distribution for that feature.
Mm - hmm.
And it may not be the same for all the types of overlaps or the windows may not be the same. e Actually , I was wondering ,  right now you 're taking a  all of the  speech , from the whole meeting , and you 're trying to find points of overlap , but we don't really know which speaker is overlapping with which speaker ,