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1 files changed, 46 insertions, 0 deletions

diff --git a/examples/tnet_preprocessing_example.lua b/examples/tnet_preprocessing_example.lua
new file mode 100644
index 0000000..c36463b
--- /dev/null
+++ b/examples/tnet_preprocessing_example.lua
@@ -0,0 +1,46 @@
+require 'libspeech'
+require 'layer.affine'
+frm_ext = 5
+feat_repo = nerv.TNetFeatureRepo(
+                                "/slfs1/users/mfy43/swb_ivec/train_bp.scp",
+                                "/slfs1/users/mfy43/swb_ivec/plp_0_d_a.conf",
+                                frm_ext)
+lab_repo = nerv.TNetLabelRepo(
+                                "/slfs1/users/mfy43/swb_ivec/ref.mlf",
+                                "map",
+                                "/slfs1/users/mfy43/swb_ivec/dict",
+                                "*/",
+                                "lab")
+feat_utter = feat_repo:cur_utter()
+-- print(feat_utter)
+-- lab_utter = lab_repo:get_utter(feat_repo, feat_utter:nrow() - frm_ext * 2)
+-- print(lab_utter)
+gconf = {mat_type = nerv.CuMatrixFloat}
+cf = nerv.ChunkFile("global_transf.nerv", "r")
+bias1 = cf:read_chunk("bias1", gconf)
+window1 = cf:read_chunk("window1", gconf)
+bias2 = cf:read_chunk("bias2", gconf)
+window2 = cf:read_chunk("window2", gconf)
+
+cf2 = nerv.ChunkFile("input.param", "r")
+input = cf2:read_chunk("input", gconf)
+
+step = frm_ext * 2 + 1
+expanded = nerv.CuMatrixFloat(feat_utter:nrow(), feat_utter:ncol() * step)
+expanded:expand_frm(nerv.CuMatrixFloat.new_from_host(feat_utter), frm_ext)
+
+rearranged = expanded:create()
+rearranged:rearrange_frm(expanded, step)
+
+rearranged:add_row(bias1.trans, 1)
+rearranged:scale_row(window1.trans)
+rearranged:add_row(bias2.trans, 1)
+rearranged:scale_row(window2.trans)
+
+for i = 0, 9 do
+    row_diff = input.trans[i] - rearranged[i + 5]
+    for j = 0, row_diff:ncol() - 1 do
+        nerv.utils.printf("%.8f ", row_diff[j])
+    end
+    nerv.utils.printf("\n")
+end