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Diffstat (limited to 'media/pocketsphinx/src/ms_gauden.h')
| -rw-r--r-- | media/pocketsphinx/src/ms_gauden.h | 150 |
1 files changed, 0 insertions, 150 deletions
diff --git a/media/pocketsphinx/src/ms_gauden.h b/media/pocketsphinx/src/ms_gauden.h deleted file mode 100644 index 9c26cef47..000000000 --- a/media/pocketsphinx/src/ms_gauden.h +++ /dev/null @@ -1,150 +0,0 @@ -/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */ -/* ==================================================================== - * Copyright (c) 1999-2004 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. - * - * ==================================================================== - * - */ - -#ifndef _LIBFBS_GAUDEN_H_ -#define _LIBFBS_GAUDEN_H_ - -/** \file ms_gauden.h - * \brief (Sphinx 3.0 specific) Gaussian density module. - * - * Gaussian density distribution implementation. There are two major - * difference bettwen ms_gauden and cont_mgau. One is the fact that - * ms_gauden only take cares of the Gaussian computation part where - * cont_mgau actually take care of senone computation as well. The - * other is the fact that ms_gauden is a multi-stream implementation - * of GMM computation. - * - */ - -/* SphinxBase headers. */ -#include <sphinxbase/feat.h> -#include <sphinxbase/logmath.h> -#include <sphinxbase/cmd_ln.h> - -/* Local headers. */ -#include "vector.h" -#include "pocketsphinx_internal.h" -#include "hmm.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/** - * \struct gauden_dist_t - * \brief Structure to store distance (density) values for a given input observation wrt density values in some given codebook. - */ -typedef struct { - int32 id; /**< Index of codeword (gaussian density) */ - mfcc_t dist; /**< Density value for input observation wrt above codeword; - NOTE: result in logs3 domain, but var_t used for speed */ - -} gauden_dist_t; - -/** - * \struct gauden_t - * \brief Multivariate gaussian mixture density parameters - */ -typedef struct { - mfcc_t ****mean; /**< mean[codebook][feature][codeword] vector */ - mfcc_t ****var; /**< like mean; diagonal covariance vector only */ - mfcc_t ***det; /**< log(determinant) for each variance vector; - actually, log(sqrt(2*pi*det)) */ - logmath_t *lmath; /**< log math computation */ - int32 n_mgau; /**< Number codebooks */ - int32 n_feat; /**< Number feature streams in each codebook */ - int32 n_density; /**< Number gaussian densities in each codebook-feature stream */ - int32 *featlen; /**< feature length for each feature */ -} gauden_t; - - -/** - * Read mixture gaussian codebooks from the given files. Allocate memory space needed - * for them. Apply the specified variance floor value. - * Return value: ptr to the model created; NULL if error. - * (See Sphinx3 model file-format documentation.) - */ -gauden_t * -gauden_init (char const *meanfile,/**< Input: File containing means of mixture gaussians */ - char const *varfile,/**< Input: File containing variances of mixture gaussians */ - float32 varfloor, /**< Input: Floor value to be applied to variances */ - logmath_t *lmath - ); - -/** Release memory allocated by gauden_init. */ -void gauden_free(gauden_t *g); /**< In: The gauden_t to free */ - -/** Transform Gaussians according to an MLLR matrix (or, eventually, more). */ -int32 gauden_mllr_transform(gauden_t *s, ps_mllr_t *mllr, cmd_ln_t *config); - -/** - * Compute gaussian density values for the given input observation vector wrt the - * specified mixture gaussian codebook (which may consist of several feature streams). - * Density values are left UNnormalized. - * @return 0 if successful, -1 otherwise. - */ -int32 -gauden_dist (gauden_t *g, /**< In: handle to entire ensemble of codebooks */ - int mgau, /**< In: codebook for which density values to be evaluated - (g->{mean,var}[mgau]) */ - int n_top, /**< In: Number top densities to be evaluated */ - mfcc_t **obs, /**< In: Observation vector; obs[f] = for feature f */ - gauden_dist_t **out_dist - /**< Out: n_top best codewords and density values, - in worsening order, for each feature stream. - out_dist[f][i] = i-th best density for feature f. - Caller must allocate memory for this output */ - ); - -/** - Dump the definitionn of Gaussian distribution. -*/ -void gauden_dump (const gauden_t *g /**< In: Gaussian distribution g*/ - ); - -/** - Dump the definition of Gaussian distribution of a particular index to the standard output stream -*/ -void gauden_dump_ind (const gauden_t *g, /**< In: Gaussian distribution g*/ - int senidx /**< In: The senone index of the Gaussian */ - ); - -#ifdef __cplusplus -} -#endif - -#endif /* GAUDEN_H */ |