Mm - hmm.
And then you merge everything in terms of , you know , linearizing the sequence based on the time marks. And then  you extract the individual channels again , but this time you know where the other people start and end talking  you know , where their spurts start and end. And so you extract the individual channels , uh , one sp spurt by spurt as it were. Um , and inside the words or between the words you now have begin and end  tags for overlaps. So , you  you basically have everything sort of lined up and in a form where you can look at the individual speakers and how their speech relates to the other speakers ' speech.
Right.
Uh , I mean , I think that 's actually really u useful also