Uh - huh.
Just like i th like th as if there were these waveform segments , but instead you have sort of feature file segments. But , you know  So.
Cool. OK. So the s the  the next thing we had on the agenda was something about alignments ?
Oh. Yes , we have  I don't know , did you wanna talk about it , or  ? I can give a  I was just telling this to Jane and  and  W we  we were able to get some definite improvement on the forced alignments by looking at them first and then realizing the kinds of errors  that were occurring and um , some of the errors occurring very frequently are just things like the first word being moved to as early as possible in the recognition , which is a um , I think was both a  a pruning  problem and possibly a problem with needing constraints on word locations. And so we tried both of these st things. We tried saying  I don't know , I got this  whacky idea that  just from looking at the data , that when people talk  their words are usually chunked together. It 's not that they say one word and then there 's a bunch of words together. They 're  might say one word and then another word far away if they were doing just backchannels ? But in general , if there 's , like , five or six words and one word 's far away from it , that 's probably wrong on average. So , um  And then also , ca the pruning , of course , was too  too severe.