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-rw-r--r--media/sphinxbase/src/libsphinxbase/feat/lda.c158
1 files changed, 0 insertions, 158 deletions
diff --git a/media/sphinxbase/src/libsphinxbase/feat/lda.c b/media/sphinxbase/src/libsphinxbase/feat/lda.c
deleted file mode 100644
index 182b029de..000000000
--- a/media/sphinxbase/src/libsphinxbase/feat/lda.c
+++ /dev/null
@@ -1,158 +0,0 @@
-/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */
-/* ====================================================================
- * Copyright (c) 2006 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.
- *
- * ====================================================================
- *
- */
-/*
- * lda.c -- Read and apply LDA matrices to features.
- *
- * Author: David Huggins-Daines <dhuggins@cs.cmu.edu>
- */
-
-#include <assert.h>
-#include <string.h>
-#ifdef HAVE_CONFIG_H
-#include <config.h>
-#endif
-
-#ifdef _MSC_VER
-#pragma warning (disable: 4018)
-#endif
-
-#include "sphinxbase/feat.h"
-#include "sphinxbase/ckd_alloc.h"
-#include "sphinxbase/bio.h"
-#include "sphinxbase/err.h"
-
-#define MATRIX_FILE_VERSION "0.1"
-
-int32
-feat_read_lda(feat_t *feat, const char *ldafile, int32 dim)
-{
- FILE *fh;
- int32 byteswap;
- uint32 chksum, i, m, n;
- char **argname, **argval;
-
- assert(feat);
- if (feat->n_stream != 1) {
- E_ERROR("LDA incompatible with multi-stream features (n_stream = %d)\n",
- feat->n_stream);
- return -1;
- }
-
- if ((fh = fopen(ldafile, "rb")) == NULL) {
- E_ERROR_SYSTEM("Failed to open transform file '%s' for reading", ldafile);
- return -1;
- }
-
- if (bio_readhdr(fh, &argname, &argval, &byteswap) < 0) {
- E_ERROR("Failed to read header from transform file '%s'\n", ldafile);
- fclose(fh);
- return -1;
- }
-
- for (i = 0; argname[i]; i++) {
- if (strcmp(argname[i], "version") == 0) {
- if (strcmp(argval[i], MATRIX_FILE_VERSION) != 0)
- E_WARN("%s: Version mismatch: %s, expecting %s\n",
- ldafile, argval[i], MATRIX_FILE_VERSION);
- }
- }
-
- bio_hdrarg_free(argname, argval);
- argname = argval = NULL;
-
- chksum = 0;
-
- if (feat->lda)
- ckd_free_3d((void ***)feat->lda);
-
- {
- /* Use a temporary variable to avoid strict-aliasing problems. */
- void ***outlda;
-
- if (bio_fread_3d(&outlda, sizeof(float32),
- &feat->n_lda, &m, &n,
- fh, byteswap, &chksum) < 0) {
- E_ERROR_SYSTEM("%s: bio_fread_3d(lda) failed\n", ldafile);
- fclose(fh);
- return -1;
- }
- feat->lda = (void *)outlda;
- }
- fclose(fh);
-
-#ifdef FIXED_POINT
- /* FIXME: This is a fragile hack that depends on mfcc_t and
- * float32 being the same size (which they are, but...) */
- for (i = 0; i < feat->n_lda * m * n; ++i) {
- feat->lda[0][0][i] = FLOAT2MFCC(((float *)feat->lda[0][0])[i]);
- }
-#endif
-
- /* Note that SphinxTrain stores the eigenvectors as row vectors. */
- if (n != feat->stream_len[0])
- E_FATAL("LDA matrix dimension %d doesn't match feature stream size %d\n", n, feat->stream_len[0]);
-
- /* Override dim from file if it is 0 or greater than m. */
- if (dim > m || dim <= 0) {
- dim = m;
- }
- feat->out_dim = dim;
-
- return 0;
-}
-
-void
-feat_lda_transform(feat_t *fcb, mfcc_t ***inout_feat, uint32 nfr)
-{
- mfcc_t *tmp;
- uint32 i, j, k;
-
- tmp = ckd_calloc(fcb->stream_len[0], sizeof(mfcc_t));
- for (i = 0; i < nfr; ++i) {
- /* Do the matrix multiplication inline here since fcb->lda
- * is transposed (eigenvectors in rows not columns). */
- /* FIXME: In the future we ought to use the BLAS. */
- memset(tmp, 0, sizeof(mfcc_t) * fcb->stream_len[0]);
- for (j = 0; j < feat_dimension(fcb); ++j) {
- for (k = 0; k < fcb->stream_len[0]; ++k) {
- tmp[j] += MFCCMUL(inout_feat[i][0][k], fcb->lda[0][j][k]);
- }
- }
- memcpy(inout_feat[i][0], tmp, fcb->stream_len[0] * sizeof(mfcc_t));
- }
- ckd_free(tmp);
-}