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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, 150 insertions, 0 deletions
diff --git a/media/pocketsphinx/src/ms_gauden.h b/media/pocketsphinx/src/ms_gauden.h new file mode 100644 index 000000000..9c26cef47 --- /dev/null +++ b/media/pocketsphinx/src/ms_gauden.h @@ -0,0 +1,150 @@ +/* -*- 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 */ |