run_nnet2.sh
1.04 KB
#!/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