libsent/src/phmm/gprune_none.c File Reference

Calculate probability of a set of Gaussian densities (no pruning). 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 gprune_none.c:

Go to the source code of this file.

Functions
LOGPROB	compute_g_base (HTK_HMM_Dens *binfo)
boolean	gprune_none_init ()
void	gprune_none_free ()
void	gprune_none (HTK_HMM_Dens **g, int num, int *last_id)
	Compute a set of Gaussians with no pruning.

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Detailed Description

Calculate probability of a set of Gaussian densities (no pruning).

Author:

Akinobu LEE

Date:

Thu Feb 17 05:09:46 2005

gprune_none() is one of the functions to compute output probability of a set of Gaussian densities. This function does no pruning, just computing each Gaussian density one by one. For non tied-mixture model, this function is used as default. Specifying "-gprune none" at runtime can also select this function.

gprune_none() will be used by calling outprob_init() to set its pointer to the global variable compute_gaussset. Then it will be called from calc_tied_mix() or calc_mix().

Revision

1.7

Definition in file gprune_none.c.

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Function Documentation

LOGPROB compute_g_base

(

HTK_HMM_Dens *

binfo

)

Calculate probability of a Gaussian density against input vector on OP_vec.

Parameters:

binfo

[in] a Gaussian density

Returns:

the output log probability.

Definition at line 58 of file gprune_none.c.

Referenced by compute_gs_scores(), gprune_beam(), gprune_heu(), gprune_none(), and gprune_safe().

boolean gprune_none_init

(

)

Initialize and setup work area for Gaussian computation

Returns:

TRUE on success, FALSE on failure.

Definition at line 84 of file gprune_none.c.

Referenced by outprob_init().

void gprune_none_free

(

)

Free gprune_none related work area.

Definition at line 100 of file gprune_none.c.

Referenced by outprob_init().

void gprune_none	(	HTK_HMM_Dens **	g,
		int	num,
		int *	last_id
	)

Compute a set of Gaussians with no pruning.

The calculated scores will be stored to OP_calced_score, with its corresponding mixture id to OP_calced_id. The number of calculated mixtures is also stored in OP_calced_num.

This can be called from calc_tied_mix() or calc_mix().

Parameters:

	g	[in] set of Gaussian densities to compute the output probability.
	num	[in] length of above
	last_id	[in] ID list of N-best mixture in previous input frame, or NULL if not exist

Definition at line 121 of file gprune_none.c.

Referenced by outprob_init().

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