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-rw-r--r--media/pocketsphinx/src/ps_mllr.c169
1 files changed, 0 insertions, 169 deletions
diff --git a/media/pocketsphinx/src/ps_mllr.c b/media/pocketsphinx/src/ps_mllr.c
deleted file mode 100644
index b43f6fbdb..000000000
--- a/media/pocketsphinx/src/ps_mllr.c
+++ /dev/null
@@ -1,169 +0,0 @@
-/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */
-/* ====================================================================
- * Copyright (c) 2009 Carnegie Mellon University. All rights
- * reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions
- * are met:
- *
- * 1. Redistributions of source code must retain the above copyright
- * notice, this list of conditions and the following disclaimer.
- *
- * 2. Redistributions in binary form must reproduce the above copyright
- * notice, this list of conditions and the following disclaimer in
- * the documentation and/or other materials provided with the
- * distribution.
- *
- * This work was supported in part by funding from the Defense Advanced
- * Research Projects Agency and the National Science Foundation of the
- * United States of America, and the CMU Sphinx Speech Consortium.
- *
- * THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND
- * ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
- * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
- * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY
- * NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
- * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
- * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
- * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
- * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- * ====================================================================
- *
- */
-
-/**
- * @file ps_mllr.c Model-space linear transforms for speaker adaptation
- */
-
-/* System headers. */
-#include <stdio.h>
-
-/* SphinxBase headers. */
-#include <sphinxbase/ckd_alloc.h>
-
-/* Local headers. */
-#include "acmod.h"
-
-ps_mllr_t *
-ps_mllr_read(char const *regmatfile)
-{
- ps_mllr_t *mllr;
- FILE *fp;
- int n, i, m, j, k;
-
- mllr = ckd_calloc(1, sizeof(*mllr));
- mllr->refcnt = 1;
-
- if ((fp = fopen(regmatfile, "r")) == NULL) {
- E_ERROR_SYSTEM("Failed to open MLLR file '%s' for reading", regmatfile);
- goto error_out;
- }
- else
- E_INFO("Reading MLLR transformation file '%s'\n", regmatfile);
-
- if ((fscanf(fp, "%d", &n) != 1) || (n < 1)) {
- E_ERROR("Failed to read number of MLLR classes\n");
- goto error_out;
- }
- mllr->n_class = n;
-
- if ((fscanf(fp, "%d", &n) != 1)) {
- E_ERROR("Failed to read number of feature streams\n");
- goto error_out;
- }
- mllr->n_feat = n;
- mllr->veclen = ckd_calloc(mllr->n_feat, sizeof(*mllr->veclen));
-
- mllr->A = (float32 ****) ckd_calloc(mllr->n_feat, sizeof(float32 **));
- mllr->b = (float32 ***) ckd_calloc(mllr->n_feat, sizeof(float32 *));
- mllr->h = (float32 ***) ckd_calloc(mllr->n_feat, sizeof(float32 *));
-
- for (i = 0; i < mllr->n_feat; ++i) {
- if (fscanf(fp, "%d", &n) != 1) {
- E_ERROR("Failed to read stream length for feature %d\n", i);
- goto error_out;
- }
- mllr->veclen[i] = n;
- mllr->A[i] =
- (float32 ***) ckd_calloc_3d(mllr->n_class, mllr->veclen[i],
- mllr->veclen[i], sizeof(float32));
- mllr->b[i] =
- (float32 **) ckd_calloc_2d(mllr->n_class, mllr->veclen[i],
- sizeof(float32));
- mllr->h[i] =
- (float32 **) ckd_calloc_2d(mllr->n_class, mllr->veclen[i],
- sizeof(float32));
-
- for (m = 0; m < mllr->n_class; ++m) {
- for (j = 0; j < mllr->veclen[i]; ++j) {
- for (k = 0; k < mllr->veclen[i]; ++k) {
- if (fscanf(fp, "%f ", &mllr->A[i][m][j][k]) != 1) {
- E_ERROR("Failed reading MLLR rotation (%d,%d,%d,%d)\n",
- i, m, j, k);
- goto error_out;
- }
- }
- }
- for (j = 0; j < mllr->veclen[i]; ++j) {
- if (fscanf(fp, "%f ", &mllr->b[i][m][j]) != 1) {
- E_ERROR("Failed reading MLLR bias (%d,%d,%d)\n",
- i, m, j);
- goto error_out;
- }
- }
- for (j = 0; j < mllr->veclen[i]; ++j) {
- if (fscanf(fp, "%f ", &mllr->h[i][m][j]) != 1) {
- E_ERROR("Failed reading MLLR variance scale (%d,%d,%d)\n",
- i, m, j);
- goto error_out;
- }
- }
- }
- }
- fclose(fp);
- return mllr;
-
-error_out:
- if (fp)
- fclose(fp);
- ps_mllr_free(mllr);
- return NULL;
-}
-
-ps_mllr_t *
-ps_mllr_retain(ps_mllr_t *mllr)
-{
- ++mllr->refcnt;
- return mllr;
-}
-
-int
-ps_mllr_free(ps_mllr_t *mllr)
-{
- int i;
-
- if (mllr == NULL)
- return 0;
- if (--mllr->refcnt > 0)
- return mllr->refcnt;
-
- for (i = 0; i < mllr->n_feat; ++i) {
- if (mllr->A)
- ckd_free_3d(mllr->A[i]);
- if (mllr->b)
- ckd_free_2d(mllr->b[i]);
- if (mllr->h)
- ckd_free_2d(mllr->h[i]);
- }
- ckd_free(mllr->veclen);
- ckd_free(mllr->A);
- ckd_free(mllr->b);
- ckd_free(mllr->h);
- ckd_free(mllr);
-
- return 0;
-}