put global transformation in a separate library

1 files changed, 7 insertions, 17 deletions

diff --git a/htk_io/init.lua b/htk_io/init.lua
index 27ece6e..af1f740 100644
--- a/htk_io/init.lua
+++ b/htk_io/init.lua
@@ -1,4 +1,5 @@
 require 'libhtkio'
+require 'speech_utils'
 local TNetReader = nerv.class("nerv.TNetReader", "nerv.DataReader")
 
 function TNetReader:__init(global_conf, reader_conf)
@@ -32,26 +33,15 @@ function TNetReader:get_data()
     local step = frm_ext * 2 + 1
     -- read HTK feature
     local feat_utter = self.feat_repo:cur_utter(self.debug)
-    -- expand the feature
-    local expanded = self.gconf.cumat_type(feat_utter:nrow(), feat_utter:ncol() * step)
-    expanded:expand_frm(self.gconf.cumat_type.new_from_host(feat_utter), frm_ext)
-    -- rearrange the feature (``transpose'' operation in TNet)
-    local rearranged = expanded:create()
-    rearranged:rearrange_frm(expanded, step)
-    -- prepare for transf
-    local input = {rearranged}
-    local output = {rearranged:create()}
-    -- do transf
-    self.global_transf:init(input[1]:nrow())
-    self.global_transf:propagate(input, output)
-    -- trim frames
-    expanded = self.gconf.mmat_type(output[1]:nrow() - frm_ext * 2, output[1]:ncol())
-    output[1]:copy_toh(expanded, frm_ext, feat_utter:nrow() - frm_ext)
-    res[self.feat_id] = expanded
+    -- global transf
+    local transformed = nerv.speech_utils.global_transf(feat_utter,
+                            self.global_transf, frm_ext, self.gconf)
+
+    res[self.feat_id] = transformed
     -- add corresponding labels
     for id, repo in pairs(self.lab_repo) do
         local lab_utter = repo:get_utter(self.feat_repo,
-                                        expanded:nrow(),
+                                        transformed:nrow(),
                                         self.debug)
         res[id] = lab_utter
     end