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egs/wsj/s5/local/run_nnet2.sh 1.04 KB
8dcb6dfcb   Yannick Estève   first commit
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  #!/bin/bash
  
  . ./cmd.sh
  
  # This shows what you can potentially run; you'd probably want to pick and choose.
  
  use_gpu=true
  
  if $use_gpu; then
    local/nnet2/run_5b_gpu.sh # various VTLN combinations,  Mel-filterbank features, si284 train (multiplied by 5).
    local/nnet2/run_5c.sh --use-gpu true # this is on top of fMLLR features.
    local/nnet2/run_6c_gpu.sh # this is discriminative training of tanh neural nets on top of run_5c_gpu.sh
    local/nnet2/run_5d.sh --use-gpu true # this is p-norm training on top of fMLLR features.  <THIS IS THE MAIN RECIPE>
    local/nnet2/run_5e_gpu.sh # this is ensemble training of p-norm nnets on top of fMLLR features.
    local/nnet2/run_6d_gpu.sh # this is discriminative training of p-norm neural nets on top of run_5d_gpu.sh
  else
    local/nnet2/run_5b.sh # various VTLN combinations, Mel-filterbank features,  si284 train (multiplied by 5).
    local/nnet2/run_5c.sh --use-gpu false # this is on top of fMLLR features.
    local/nnet2/run_5d.sh --use-gpu false # this is p-norm on top of fMLLR features.  <THIS IS THE MAIN RECIPE>
  fi