libsent/src/phmm/gms.c File Reference

Calculate state probability with Gaussian Mixture Selection. More...

#include <sent/stddefs.h>
#include <sent/htk_hmm.h>
#include <sent/htk_param.h>
#include <sent/hmm.h>
#include <sent/gprune.h>
#include "globalvars.h"

Include dependency graph for gms.c:

Go to the source code of this file.

Defines
#define	MAXHMMNAMELEN   40
	Assumed maximum length of HMM name.
#define	SD(A)   gsindex[A-1]
	Index macro for heap sort.
#define	SCOPY(D, S)   D = S
	Element copy macro for heap sort.
#define	SVAL(A)   (t_fs[gsindex[A-1]])
	Element evaluation macro for heap sort.
#define	STVAL   (t_fs[s])
	Element current value macro for heap sort.
Functions
static void	build_gsset ()
static void	free_gsset ()
static boolean	build_state2gs ()
static void	free_state2gs ()
static void	sort_gsindex_upward (int neednum, int totalnum)
static void	do_gms ()
boolean	gms_init (int nbest)
boolean	gms_prepare (int framenum)
void	gms_free ()
LOGPROB	gms_state ()
Variables
static int	my_nbest
	Number of states to be selected.
static int	allocframenum
	Allocated number of frame for storing fallback scores per frame.
static GS_SET *	gsset
	Set of GS states.
static int	gsset_num
	Num of above.
static int *	state2gs
	Mapping from triphone state id to gs id.
static boolean *	is_selected
	TRUE if the frame is already selected.
static LOGPROB **	fallback_score = NULL
	[t][gssetid], LOG_ZERO if selected
static int *	gsindex
	Index buffer.
static LOGPROB *	t_fs
	Current fallback_score.

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Detailed Description

Calculate state probability with Gaussian Mixture Selection.

Author:

Akinobu LEE

Date:

Thu Feb 17 14:52:18 2005

See the comments in the source for details about implementation.

Revision

1.4

Definition in file gms.c.

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Function Documentation

static void build_gsset

(

)

[static]

Register all state defs in GS HMM to GS_SET.

Definition at line 102 of file gms.c.

Referenced by gms_init().

static void free_gsset

(

)

[static]

Free gsset.

Definition at line 120 of file gms.c.

Referenced by gms_free().

static boolean build_state2gs

(

)

[static]

Build the correspondence from GS states to triphone states.

Returns:

TRUE on success, FALSE on failure.

Definition at line 133 of file gms.c.

Referenced by gms_init().

static void free_state2gs

(

)

[static]

free state2gs.

Definition at line 186 of file gms.c.

Referenced by gms_free().

static void sort_gsindex_upward	(	int	neednum,
		int	totalnum
	)			[static]

Heap sort of gsindex to determine which model gets N best likelihoods.

Parameters:

	neednum	[in] needed number N
	totalnum	[in] total number of data

Definition at line 205 of file gms.c.

Referenced by do_gms().

static void do_gms

(

)

[static]

Calculate all GS state scores and select the best ones.

Definition at line 249 of file gms.c.

Referenced by gms_state().

boolean gms_init

(

int

nbest

)

Initialize the GMS related functions and data.

Parameters:

nbest

[in] N-best state to compute the precise triphone.

Returns:

TRUE on success, FALSE on failure.

Definition at line 282 of file gms.c.

Referenced by outprob_init().

boolean gms_prepare

(

int

framenum

)

Setup GMS parameters for next input.

Parameters:

framenum

[in] length of next input in frames

Returns:

TRUE on success, FALSE on failure.

Definition at line 332 of file gms.c.

Referenced by outprob_prepare().

void gms_free

(

)

Free GMS related work areas.

Definition at line 366 of file gms.c.

Referenced by outprob_free().

LOGPROB gms_state

(

)

Get HMM State probability of current state with Gaussiam Mixture Selection.

If the GMS HMM score of the corresponding basephone is below the N-best, the triphone score will not be computed, and the score of the GMS HMM will be returned instead as a fallback score. Else, the precise triphone will be computed and returned.

Returns:

the state output probability score in log10.

Definition at line 392 of file gms.c.

Referenced by outprob_init().

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