and , um , if you align the two hypothesis files across the channels , you know , just word alignment , you 'd be able to find that. So  so I guess that 's sort of a last  ther there 're sort of a few things we could do. One is just do like non - lapels if we can get good enough alignments. Another one was to try to get  somehow align Thilo 's energy segmentations with what we have. But then you have the problem of not knowing where the words are because these meetings were done before that segmentation. But maybe there 's something that could be done.
What  what is  why do you need the , um , the forced alignment for the HLT  I mean for the Eurospeech paper ?
Well , I guess I  I wanted to just do something not on recognition experiments because that 's ju way too early , but to be able to report , you know , actual numbers. Like if we  if we had hand - transcribed pe good alignments or hand - checked alignments , then we could do this paper. It 's not that we need it to be automatic. But without knowing where the real words are , in time
So it was to get  it was to get more data and better  to  to squeeze the boundaries in.