But  I think Fudge is pretty fast too.
Yeah , I mean you can check with uh  Dave Johnson. I mean , it  it 's   I think the machine is just sitting there. And it does have two processors , you know and   Somebody could do   you know , uh , check out  uh the multi - threading  libraries. And  I mean i it 's possible that the  I mean , I guess the prudent thing to do would be for somebody to do the work on   on getting our code running  on that machine with two processors  even though there aren't five or eight. There 's  there 's  there 's gonna be debugging hassles and then we 'd be set for when we did have five or eight , to have it really be useful. But.  Notice how I said somebody and  turned my head your direction. That 's one thing you don't get in these recordings. You don't get the   don't get the visuals but
I is it um  mostly um the neural network trainings that are  um slowing us down or the HTK runs that are slowing us down ?
Uh , I think yes. Uh ,  Isn't that right ? I mean I think you 're  you 're sort of held up by both , right ? If the  if the neural net trainings were a hundred times faster  you still wouldn't  be anything  running through these a hundred times faster because you 'd  be stuck by the HTK trainings ,