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authorDeterminant <[email protected]>2015-05-29 23:06:58 +0800
committerDeterminant <[email protected]>2015-05-29 23:06:58 +0800
commit74b9f7cb88cd21cfac3c2e50c8efb802485df0c5 (patch)
treebd6e583088a086144acc2d8af3eaca59691194ff /tnet_io/cwrapper.cpp
init
Diffstat (limited to 'tnet_io/cwrapper.cpp')
-rw-r--r--tnet_io/cwrapper.cpp136
1 files changed, 136 insertions, 0 deletions
diff --git a/tnet_io/cwrapper.cpp b/tnet_io/cwrapper.cpp
new file mode 100644
index 0000000..f992731
--- /dev/null
+++ b/tnet_io/cwrapper.cpp
@@ -0,0 +1,136 @@
+#include "KaldiLib/Features.h"
+#include "KaldiLib/Labels.h"
+#include "KaldiLib/Common.h"
+#include "KaldiLib/UserInterface.h"
+#include <string>
+#define SNAME "TNET"
+
+extern "C" {
+#include "cwrapper.h"
+#include "string.h"
+
+ extern Matrix *nerv_matrix_host_float_new_(long nrow, long ncol);
+
+ struct TNetFeatureRepo {
+ TNet::FeatureRepository feature_repo;
+ TNet::UserInterface ui;
+ bool swap_features;
+ int target_kind;
+ int deriv_order;
+ int* p_deriv_win_lenghts;
+ int start_frm_ext;
+ int end_frm_ext;
+ char* cmn_path;
+ char* cmn_file;
+ const char* cmn_mask;
+ char* cvn_path;
+ char* cvn_file;
+ const char* cvn_mask;
+ const char* cvg_file;
+ TNet::Matrix<float> feats_host; /* KaldiLib implementation */
+ };
+
+ TNetFeatureRepo *tnet_feature_repo_new(const char *p_script, const char *config, int context) {
+ TNetFeatureRepo *repo = new TNetFeatureRepo();
+ repo->ui.ReadConfig(config);
+ fprintf(stderr, "read config\n");
+ repo->swap_features = !repo->ui.GetBool(SNAME":NATURALREADORDER", TNet::IsBigEndian());
+ /* load defaults */
+ repo->target_kind = repo->ui.GetFeatureParams(&repo->deriv_order,
+ &repo->p_deriv_win_lenghts,
+ &repo->start_frm_ext, &repo->end_frm_ext,
+ &repo->cmn_path, &repo->cmn_file, &repo->cmn_mask,
+ &repo->cvn_path, &repo->cvn_file, &repo->cvn_mask,
+ &repo->cvg_file, SNAME":", 0);
+ repo->start_frm_ext = repo->end_frm_ext = context;
+ repo->feature_repo.Init(repo->swap_features,
+ repo->start_frm_ext, repo->end_frm_ext, repo->target_kind,
+ repo->deriv_order, repo->p_deriv_win_lenghts,
+ repo->cmn_path, repo->cmn_mask,
+ repo->cvn_path, repo->cvn_mask, repo->cvg_file);
+ repo->feature_repo.AddFileList(p_script);
+ repo->feature_repo.Rewind();
+ return repo;
+ }
+
+ Matrix *tnet_feature_repo_read_utterance(TNetFeatureRepo *repo) {
+ Matrix *mat; /* nerv implementation */
+ repo->feature_repo.ReadFullMatrix(repo->feats_host);
+ std::string utter_str = repo->feature_repo.Current().Logical();
+ repo->feats_host.CheckData(utter_str);
+ int n = repo->feats_host.Rows();
+ int m = repo->feats_host.Cols();
+ mat = nerv_matrix_host_float_new_(n, m);
+ size_t stride = mat->stride;
+ fprintf(stderr, "[tnet] feature: %s %d %d\n", utter_str.c_str(), n, m);
+ for (int i = 0; i < n; i++)
+ {
+ float *row = repo->feats_host.pRowData(i);
+ float *nerv_row = (float *)((char *)mat->data.f + i * stride);
+ /* use memmove to copy the row, since KaldiLib uses compact storage */
+ memmove(nerv_row, row, sizeof(float) * m);
+ }
+ return mat;
+ }
+
+ void tnet_feature_repo_next(TNetFeatureRepo *repo) {
+ repo->feature_repo.MoveNext();
+ }
+
+ size_t tnet_feature_repo_current_samplerate(TNetFeatureRepo *repo) {
+ return repo->feature_repo.CurrentHeader().mSamplePeriod;
+ }
+
+ const char *tnet_feature_repo_current_tag(TNetFeatureRepo *repo) {
+ return repo->feature_repo.Current().Logical().c_str();
+ }
+
+ void tnet_feature_repo_destroy(TNetFeatureRepo *repo) {
+ if (repo->cmn_mask)
+ free(repo->cmn_path);
+ if (repo->cvn_mask)
+ free(repo->cvn_path);
+ free(repo->p_deriv_win_lenghts);
+ free(repo);
+ }
+
+ struct TNetLabelRepo {
+ TNet::LabelRepository label_repo;
+ };
+
+ TNetLabelRepo *tnet_label_repo_new(const char *mlf, const char *fmt,
+ const char *fmt_arg, const char *dir,
+ const char *ext) {
+ TNetLabelRepo *repo = new TNetLabelRepo();
+ repo->label_repo.InitExt(mlf, fmt, fmt_arg, dir, ext);
+ /* repo->label_repo.Init(mlf, fmt_arg, dir, ext); */
+ return repo;
+ }
+
+ Matrix *tnet_label_repo_read_utterance(TNetLabelRepo *repo,
+ size_t frames,
+ size_t sample_rate,
+ const char *tag) {
+ std::vector<TNet::Matrix<float> > labs_hosts; /* KaldiLib implementation */
+ Matrix *mat;
+ repo->label_repo.GenDesiredMatrixExt(labs_hosts, frames,
+ sample_rate, tag);
+ int n = labs_hosts[0].Rows();
+ int m = labs_hosts[0].Cols();
+ mat = nerv_matrix_host_float_new_(n, m);
+ size_t stride = mat->stride;
+ fprintf(stderr, "[tnet] label: %s %d %d\n", tag, n, m);
+ for (int i = 0; i < n; i++)
+ {
+ float *row = labs_hosts[0].pRowData(i);
+ float *nerv_row = (float *)((char *)mat->data.f + i * stride);
+ /* use memmove to copy the row, since KaldiLib uses compact storage */
+ memmove(nerv_row, row, sizeof(float) * m);
+ }
+ return mat;
+ }
+
+ void tnet_label_repo_destroy(TNetLabelRepo *repo) {
+ free(repo);
+ }
+}