hmm.h File Reference

Hidden Marcov Model for recognition. More...

#include <sent/stddefs.h>
#include <sent/htk_hmm.h>
#include <sent/htk_param.h>

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Typedefs

typedef _a_cell A_CELL

Transition arc of HMM state.

typedef _seg_token SEGTOKEN

Functions

HMM * new_make_word_hmm (HTK_HMM_INFO *, HMM_Logical **, int)

HMM * new_make_word_hmm_with_lm (HTK_HMM_INFO *, HMM_Logical **, int, LOGPROB *)

void free_hmm (HMM *)

LOGPROB viterbi_segment (HMM *hmm, HTK_Param *param, int *endstates, int ulen, int **id_ret, int **seg_ret, LOGPROB **uscore_ret, int *retlen)

Perform Viterbi alignment.

void make_log_tbl ()

Generate a value tables of $\log (1+e^x)$ .

LOGPROB addlog (LOGPROB x, LOGPROB y)

LOGPROB addlog_array (LOGPROB *x, int n)

boolean outprob_init (HTK_HMM_INFO *hmminfo, HTK_HMM_INFO *gshmm, int gms_num, int gprune_method, int gprune_mixnum)

boolean outprob_prepare (int framenum)

boolean outprob_cache_init ()

boolean outprob_cache_prepare ()

LOGPROB outprob_state (int t, HTK_HMM_State *stateinfo, HTK_Param *param)

Compute output probability of a state.

void outprob_cd_nbest_init (int num)

LOGPROB outprob_cd (int t, CD_State_Set *lset, HTK_Param *param)

LOGPROB outprob (int t, HMM_STATE *hmmstate, HTK_Param *param)

boolean gms_init (int nbest)

boolean gms_prepare (int framelen)

LOGPROB gms_state ()

void gms_gprune_init (HTK_HMM_INFO *hmminfo, int gsset_num)

void gms_gprune_prepare ()

void compute_gs_scores (GS_SET *gsset, int gsset_num, LOGPROB *scores_ret)

LOGPROB calc_mix ()

Compute the output probability of current state OP_State.

boolean calc_tied_mix_init ()

boolean calc_tied_mix_prepare (int framenum)

LOGPROB calc_tied_mix ()

Compute the output probability of current state OP_State on tied-mixture model.

void put_hmm_arc (HMM *d)

void put_hmm_outprob (HMM *d)

void put_hmm (HMM *d)

Detailed Description

Hidden Marcov Model for recognition.

Author:: Akinobu LEE

Date:: Thu Feb 10 14:54:06 2005

This file defines HMM instance structure for recognition. When recognition, the required word HMM or tree lexicon will be built using these structures referencing word dictionary and HTK HMM Acoustic Model (defined in htk_hmm.h), and actual likelihood computation.

Revision: 1.1.1.1

Definition in file hmm.h.

Typedef Documentation

typedef struct _seg_token SEGTOKEN

Token definition for viterbi segmentation.

Function Documentation

HMM* new_make_word_hmm ( HTK_HMM_INFO * hmminfo,

HMM_Logical ** hdseq,

int hdseqlen

)

Make a HMM instance for recognition from phoneme sequence.

Parameters:

hmminfo [in] HTK HMM definitions data

hdseq [in] phoneme sequence as given by pointer list of logical HMM

hdseqlen [in] length of above

Returns:
newly allocated HMM instance generated from the given data.

Definition at line 362 of file mkwhmm.c.
Referenced by do_align(), and scan_word().

HMM* new_make_word_hmm_with_lm ( HTK_HMM_INFO * hmminfo,

HMM_Logical ** hdseq,

int hdseqlen,

LOGPROB * lscore

)

Make a HMM instance for recognition from phoneme sequence, with connection probabiliry given for each phoneme.

Parameters:

hmminfo [in] HTK HMM definitions data

hdseq [in] phoneme sequence as given by pointer list of logical HMM

hdseqlen [in] length of above

lscore [in] list of log probability to be added at the emitting transition of each phoneme, or NULL if not needed.

Returns:
newly allocated HMM instance generated from the given data.

Definition at line 102 of file mkwhmm.c.
Referenced by new_make_word_hmm().

void free_hmm ( HMM * d )

Free an HMM instance.

Parameters:

d [in] HMM instance to free

Definition at line 381 of file mkwhmm.c.
Referenced by do_align().

LOGPROB viterbi_segment ( HMM * hmm,

HTK_Param * param,

int * endstates,

int ulen,

int ** id_ret,

int ** seg_ret,

LOGPROB ** uscore_ret,

int * slen_ret

)

Perform Viterbi alignment.
This function performs viterbi alignment for the given sentence HMM, input parameter and unit definition. Any segmentatino unit (word, phoneme state, etc.) is allowed: the segmentation unit should be specified by specifying a list of state id which are the end of each unit. For example, if you want to obtain phoneme alignment, the list of state number that exist at the end of phones should be specified by endstates.

Parameters:

hmm [in] sentence HMM to be matched

param [in] input parameter data

endstates [in] list of state id that corrsponds to the ends of units

ulen [in] total number of units in the hmm

id_ret [out] Pointer to store the newly allocated array of the resulting id sequence of units on the best path.

seg_ret [out] Pointer to store the newly allocated array of the resulting end frame of each unit on the best path.

uscore_ret [out] Pointer to store the newly allocated array of the resulting score at the end frame of each unit on the best path.

slen_ret [out] Pointer to store the total number of units on the best path.

Returns:
the total acoustic score for the whole input.

Definition at line 50 of file vsegment.c.
Referenced by do_align().

void make_log_tbl ( )

Generate a value tables of $\log (1+e^x)$ .
$x$ is from 0 to (- VRANGE), and table size is TBLSIZE.
Definition at line 40 of file addlog.c.
Referenced by outprob_init().

LOGPROB addlog ( LOGPROB x,

LOGPROB y

)

Rapid computation of $\log (e^x + e^y)$ .
If value differs more than LOG_ADDMIN, the larger value will be returned as is.

Parameters:

x [in] log value

y [in] log value

Returns:
result value.

Definition at line 66 of file addlog.c.

LOGPROB addlog_array ( LOGPROB * a,

int n

)

Rapid computation of $\log (\sum_{i=1}^N e^{x_i})$ .

Parameters:

a [in] array of log values

n [in] length of above

Returns:
the result value.

Definition at line 98 of file addlog.c.
Referenced by calc_mix(), calc_tied_mix(), and gmm_calc_mix().

boolean outprob_init ( HTK_HMM_INFO * hmminfo,

HTK_HMM_INFO * gshmm,

int gms_num,

int gprune_method,

int gprune_mixnum

)

Initialize and setup acoustic computation functions.

Returns:
TRUE on success, FALSE on failure.
select functions
Definition at line 62 of file outprob_init.c.
Referenced by final_fusion().

boolean outprob_prepare ( int framenum )

Prepare for the next input of given frame length.

Parameters:

framenum [in] input length in frame.

Returns:
TRUE on success, FALSE on failure.

Definition at line 139 of file outprob_init.c.
Referenced by main_recognition_loop(), and RealTimePipeLinePrepare().

boolean outprob_cache_init ( )

Initialize the cache data, should be called once on startup.

Returns:
TRUE on success, FALSE on failure.

Definition at line 81 of file outprob.c.
Referenced by outprob_init().

boolean outprob_cache_prepare ( )

Prepare cache for the next input, by clearing the existing cache.

Returns:
TRUE on success, FALSE on failure.

Definition at line 98 of file outprob.c.
Referenced by outprob_prepare().

LOGPROB outprob_state ( int t,

HTK_HMM_State * stateinfo,

HTK_Param * param

)

Compute output probability of a state.
Set the needed values to the global variables that begins with "OP_", and call calc_outprob_state(). The calc_outprob_state() is actually a function pointer, and the entity is either calc_tied_mix() for tied-mixture model and calc_mix() for others. (If you use GMS, the entity will be gms_state() instead.)
The state-level cache is also consulted here.

Returns:
output log probability.

Definition at line 167 of file outprob.c.
Referenced by next_word(), outprob(), outprob_cd_avg(), outprob_cd_max(), outprob_cd_nbest(), outprob_style(), and start_word().

void outprob_cd_nbest_init ( int num )

Initialize work area for outprob_cd_nbest().

Parameters:

num [in] number of top states to be calculated.

Definition at line 204 of file outprob.c.
Referenced by outprob_init().

LOGPROB outprob_cd ( int t,

CD_State_Set * lset,

HTK_Param * param

)

Compute the log output probability of a pseudo state set.

Parameters:

t [in] input frame

lset [in] pseudo state set

param [in] input parameter data

Returns:
the computed log output probability.

Definition at line 312 of file outprob.c.
Referenced by next_word(), outprob(), outprob_style(), and start_word().

LOGPROB outprob ( int t,

HMM_STATE * hmmstate,

HTK_Param * param

)

Top function to compute the output probability of a HMM state.

Parameters:

t [in] input frame

hmmstate [in] HMM state

param [in] input parameter data

Returns:
the computed log output probability.

Definition at line 346 of file outprob.c.
Referenced by viterbi_segment().

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 262 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 312 of file gms.c.
Referenced by outprob_prepare().

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 352 of file gms.c.
Referenced by outprob_init().

void gms_gprune_init ( HTK_HMM_INFO * hmminfo,

int gsset_num

)

Initialization of GMS HMM likelihood computation.

Parameters:

hmminfo [in] GMS HMM definition

gsset_num [in] number of states in GMS HMM

Definition at line 60 of file gms_gprune.c.
Referenced by gms_init().

void gms_gprune_prepare ( )

Prepare GMS HMM computation for the next speech input.
Definition at line 75 of file gms_gprune.c.
Referenced by gms_prepare().

void compute_gs_scores ( GS_SET * gsset,

int gsset_num,

LOGPROB * scores_ret

)

Main function to compute all the GMS HMM states in a frame with the input vectore specified by OP_vec. This function assumes that this will be called for sequencial frame, since it utilizes the result of previous frame for faster pruning.

Parameters:

gsset [in] list of GMS HMM state set.

gsset_num [in] length of above

scores_ret [out] array of scores for each GMS HMM state

Definition at line 293 of file gms_gprune.c.
Referenced by do_gms().

LOGPROB calc_mix ( )

Compute the output probability of current state OP_State.
No codebook-level cache is done.

Returns:
the output probability of the state OP_State in log10

Definition at line 39 of file calc_mix.c.
Referenced by outprob_init().

boolean calc_tied_mix_init ( )

Initialize codebook cache area.

Returns:
TRUE on success, FALSE on failure.

Definition at line 57 of file calc_tied_mix.c.
Referenced by outprob_init().

boolean calc_tied_mix_prepare ( int framenum )

Setup codebook cache for the next incoming input.

Parameters:

framenum [in] length of the next input.

Returns:
TRUE on success, FALSE on failure.

Definition at line 73 of file calc_tied_mix.c.
Referenced by outprob_prepare().

LOGPROB calc_tied_mix ( )

Compute the output probability of current state OP_State on tied-mixture model.
This function assumes that the OP_state is assigned to a tied-mixture codebook. Here the output probability of Gaussian mixture component referred by OP_state is consulted to the book level cache, and if not computed yet on that input frame time, it will be computed here.

Returns:
the computed output probability in log10.

Definition at line 120 of file calc_tied_mix.c.
Referenced by outprob_init().

void put_hmm_arc ( HMM * d )

Output transition arcs of an HMM instance.

Parameters:

d [in] pointer to a HMM instance.

Definition at line 160 of file put_htkdata_info.c.
Referenced by put_hmm().

void put_hmm_outprob ( HMM * d )

Output output probability information of an HMM instance.

Parameters:

d [in] pointer to a HMM instance.

Definition at line 183 of file put_htkdata_info.c.
Referenced by put_hmm().

void put_hmm ( HMM * d )

Output an HMM instance.

Parameters:

d [in] pointer to a HMM instance.

Definition at line 204 of file put_htkdata_info.c.

Generated on Tue Mar 28 16:18:17 2006 for Julius by

1.4.2


Typedefs
typedef _a_cell	A_CELL
	Transition arc of HMM state.
typedef _seg_token	SEGTOKEN
Functions
HMM *	new_make_word_hmm (HTK_HMM_INFO , HMM_Logical *, int)
HMM *	new_make_word_hmm_with_lm (HTK_HMM_INFO , HMM_Logical , int, LOGPROB )
void	free_hmm (HMM *)
LOGPROB	viterbi_segment (HMM hmm, HTK_Param param, int endstates, int ulen, int id_ret, int seg_ret, LOGPROB uscore_ret, int retlen)
	Perform Viterbi alignment.
void	make_log_tbl ()
	Generate a value tables of $\log (1+e^x)$ .
LOGPROB	addlog (LOGPROB x, LOGPROB y)
LOGPROB	addlog_array (LOGPROB *x, int n)
boolean	outprob_init (HTK_HMM_INFO hmminfo, HTK_HMM_INFO gshmm, int gms_num, int gprune_method, int gprune_mixnum)
boolean	outprob_prepare (int framenum)
boolean	outprob_cache_init ()
boolean	outprob_cache_prepare ()
LOGPROB	outprob_state (int t, HTK_HMM_State stateinfo, HTK_Param param)
	Compute output probability of a state.
void	outprob_cd_nbest_init (int num)
LOGPROB	outprob_cd (int t, CD_State_Set lset, HTK_Param param)
LOGPROB	outprob (int t, HMM_STATE hmmstate, HTK_Param param)
boolean	gms_init (int nbest)
boolean	gms_prepare (int framelen)
LOGPROB	gms_state ()
void	gms_gprune_init (HTK_HMM_INFO *hmminfo, int gsset_num)
void	gms_gprune_prepare ()
void	compute_gs_scores (GS_SET gsset, int gsset_num, LOGPROB scores_ret)
LOGPROB	calc_mix ()
	Compute the output probability of current state OP_State.
boolean	calc_tied_mix_init ()
boolean	calc_tied_mix_prepare (int framenum)
LOGPROB	calc_tied_mix ()
	Compute the output probability of current state OP_State on tied-mixture model.
void	put_hmm_arc (HMM *d)
void	put_hmm_outprob (HMM *d)
void	put_hmm (HMM *d)