require 'kaldi_io'
gconf = {lrate = 0.8, wcost = 1e-6, momentum = 0.9, frm_ext = 5,
tr_scp = "ark:/speechlab/tools/KALDI/kaldi-master/src/featbin/copy-feats " ..
"scp:/speechlab/users/mfy43/timit/s5/exp/dnn4_nerv_prepare/train.scp ark:- |",
cv_scp = "ark:/speechlab/tools/KALDI/kaldi-master/src/featbin/copy-feats " ..
"scp:/speechlab/users/mfy43/timit/s5/exp/dnn4_nerv_prepare/cv.scp ark:- |",
initialized_param = {"/speechlab/users/mfy43/timit/s5/exp/dnn4_nerv_prepare/nnet_init.nerv",
"/speechlab/users/mfy43/timit/s5/exp/dnn4_nerv_prepare/nnet_output.nerv",
"/speechlab/users/mfy43/timit/s5/exp/dnn4_nerv_prepare/nnet_trans.nerv"},
decode_param = {"/speechlab/users/mfy43/timit/nnet_init_20160229015745_iter_13_lr0.013437_tr72.434_cv58.729.nerv",
"/speechlab/users/mfy43/timit/s5/exp/dnn4_nerv_prepare/nnet_trans.nerv"}}
function make_layer_repo(param_repo)
local layer_repo = nerv.LayerRepo(
{
-- global transf
["nerv.BiasLayer"] =
{
blayer1 = {{bias = "bias0"}, {dim_in = {440}, dim_out = {440}}}
},
["nerv.WindowLayer"] =
{
wlayer1 = {{window = "window0"}, {dim_in = {440}, dim_out = {440}}}
},
-- biased linearity
["nerv.AffineLayer"] =
{
affine0 = {{ltp = "affine0_ltp", bp = "affine0_bp"},
{dim_in = {440}, dim_out = {1024}}},
affine1 = {{ltp = "affine1_ltp", bp = "affine1_bp"},
{dim_in = {1024}, dim_out = {1024}}},
affine2 = {{ltp = "affine2_ltp", bp = "affine2_bp"},
{dim_in = {1024}, dim_out = {1024}}},
affine3 = {{ltp = "affine3_ltp", bp = "affine3_bp"},
{dim_in = {1024}, dim_out = {1024}}},
affine4 = {{ltp = "affine4_ltp", bp = "affine4_bp"},
{dim_in = {1024}, dim_out = {1024}}},
affine5 = {{ltp = "affine5_ltp", bp = "affine5_bp"},
{dim_in = {1024}, dim_out = {1024}}},
affine6 = {{ltp = "affine6_ltp", bp = "affine6_bp"},
{dim_in = {1024}, dim_out = {1959}}}
},
["nerv.SigmoidLayer"] =
{
sigmoid0 = {{}, {dim_in = {1024}, dim_out = {1024}}},
sigmoid1 = {{}, {dim_in = {1024}, dim_out = {1024}}},
sigmoid2 = {{}, {dim_in = {1024}, dim_out = {1024}}},
sigmoid3 = {{}, {dim_in = {1024}, dim_out = {1024}}},
sigmoid4 = {{}, {dim_in = {1024}, dim_out = {1024}}},
sigmoid5 = {{}, {dim_in = {1024}, dim_out = {1024}}}
},
["nerv.SoftmaxCELayer"] = -- softmax + ce criterion layer for finetune output
{
ce_crit = {{}, {dim_in = {1959, 1}, dim_out = {1}, compressed = true}}
},
["nerv.SoftmaxLayer"] = -- softmax for decode output
{
softmax = {{}, {dim_in = {1959}, dim_out = {1959}}}
}
}, param_repo, gconf)
layer_repo:add_layers(
{
["nerv.DAGLayer"] =
{
global_transf = {{}, {
dim_in = {440}, dim_out = {440},
sub_layers = layer_repo,
connections = {
["[1]"] = "blayer1[1]",
["blayer1[1]"] = "wlayer1[1]",
["wlayer1[1]"] = "