[Kaldi-developers] Split data in karel nnet/train_mpe

[Raymond W. M. N. <wm...@sh...>]

Hi Kaldi,

I am training an DNN with Karel setupt on a 160hr data set.
When I get to the sMBR sequence discriminative training
(steps/nnet/train_mpe.sh) The memory usage exploded. The program only
managed to process around 2/7 of the training files before it crashes.

There's no easy accumulation function for the DNN but I assume I can just
put different training file splits in consecutive iterations?

I'd like to know if there's resource out there already. I was referring to
the egs/tedlium recipe.

thanks
raymond