ms_gauden.h File Reference

(Sphinx 3.0 specific) Gaussian density module. More...

#include <sphinxbase/feat.h>
#include <sphinxbase/logmath.h>
#include <sphinxbase/cmd_ln.h>
#include "vector.h"
#include "pocketsphinx_internal.h"
#include "hmm.h"

Go to the source code of this file.

Data Structures
struct	gauden_dist_t
	Structure to store distance (density) values for a given input observation wrt density values in some given codebook. More...
struct	gauden_t
	Multivariate gaussian mixture density parameters. More...

Functions
gauden_t *	gauden_init (char const *meanfile, char const *varfile, float32 varfloor, logmath_t *lmath)
	Read mixture gaussian codebooks from the given files. More...
void	gauden_free (gauden_t *g)
	Release memory allocated by gauden_init. More...
int32	gauden_mllr_transform (gauden_t *s, ps_mllr_t *mllr, cmd_ln_t *config)
	Transform Gaussians according to an MLLR matrix (or, eventually, more). More...
int32	gauden_dist (gauden_t *g, int mgau, int n_top, mfcc_t **obs, gauden_dist_t **out_dist)
	Compute gaussian density values for the given input observation vector wrt the specified mixture gaussian codebook (which may consist of several feature streams). More...
void	gauden_dump (const gauden_t *g)
	Dump the definitionn of Gaussian distribution. More...
void	gauden_dump_ind (const gauden_t *g, int senidx)
	Dump the definition of Gaussian distribution of a particular index to the standard output stream. More...

Detailed Description

(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.

Definition in file ms_gauden.h.

Function Documentation

int32 gauden_dist	(	gauden_t *	g,
		int	mgau,
		int	n_top,
		mfcc_t **	obs,
		gauden_dist_t **	out_dist
	)

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.

Returns

0 if successful, -1 otherwise.

Parameters

g	In: handle to entire ensemble of codebooks
mgau	In: codebook for which density values to be evaluated (g->{mean,var}[mgau])
n_top	In: Number top densities to be evaluated
obs	In: Observation vector; obs[f] = for feature f
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

void gauden_dump

(

const gauden_t *

g

)

Dump the definitionn of Gaussian distribution.

Parameters

g	In: Gaussian distribution g

Definition at line 138 of file ms_gauden.c.

References gauden_dump_ind(), and gauden_t::n_mgau.

void gauden_dump_ind	(	const gauden_t *	g,
		int	senidx
	)

Dump the definition of Gaussian distribution of a particular index to the standard output stream.

Parameters

g	In: Gaussian distribution g
senidx	In: The senone index of the Gaussian

Definition at line 148 of file ms_gauden.c.

References gauden_t::det, gauden_t::featlen, gauden_t::mean, gauden_t::n_density, gauden_t::n_feat, and gauden_t::var.

Referenced by gauden_dump().

void gauden_free

(

gauden_t *

g

)

Release memory allocated by gauden_init.

In: The gauden_t to free

Definition at line 399 of file ms_gauden.c.

References gauden_t::det, gauden_t::featlen, gauden_t::mean, and gauden_t::var.

gauden_t* gauden_init	(	char const *	meanfile,
		char const *	varfile,
		float32	varfloor,
		logmath_t *	lmath
	)

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.)

Parameters

meanfile	Input: File containing means of mixture gaussians
varfile	Input: File containing variances of mixture gaussians
varfloor	Input: Floor value to be applied to variances

Definition at line 361 of file ms_gauden.c.

References gauden_t::featlen, gauden_t::lmath, gauden_t::mean, gauden_t::n_density, gauden_t::n_feat, gauden_t::n_mgau, and gauden_t::var.

int32 gauden_mllr_transform	(	gauden_t *	s,
		ps_mllr_t *	mllr,
		cmd_ln_t *	config
	)

Transform Gaussians according to an MLLR matrix (or, eventually, more).

Definition at line 550 of file ms_gauden.c.

References ps_mllr_s::A, ps_mllr_s::b, gauden_t::det, gauden_t::featlen, ps_mllr_s::h, gauden_t::lmath, gauden_t::mean, gauden_t::n_density, gauden_t::n_feat, gauden_t::n_mgau, and gauden_t::var.