libsent/include/sent/gprune.h
Gaussian pruning に関する定義. [詳細]
データ構造 | |
| struct | MIXCACHE |
| A component of per-codebook probability cache while search. [詳細] | |
マクロ定義 | |
| #define | TMBEAMWIDTH 5.0 |
| Score beam offset for GPRUNE_SEL_BEAM. | |
列挙型 | |
| enum | { GPRUNE_SEL_UNDEF, GPRUNE_SEL_NONE, GPRUNE_SEL_SAFE, GPRUNE_SEL_HEURISTIC, GPRUNE_SEL_BEAM } |
Symbols to specify which Gaussian pruning algorithm to use. [詳細] | |
関数 | |
| int | cache_push (int id, LOGPROB score, int len) |
| Store a score to the current list of computed Gaussians. | |
| 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. | |
| LOGPROB | compute_g_safe (HTK_HMM_Dens *binfo, LOGPROB thres) |
| Calculate probability with safe pruning. | |
| boolean | gprune_safe_init () |
| void | gprune_safe_free () |
| void | gprune_safe (HTK_HMM_Dens **g, int gnum, int *last_id) |
| Compute a set of Gaussians with safe pruning. | |
| boolean | gprune_heu_init () |
| void | gprune_heu_free () |
| void | gprune_heu (HTK_HMM_Dens **g, int gnum, int *last_id) |
| Compute a set of Gaussians with heuristic pruning. | |
| boolean | gprune_beam_init () |
| void | gprune_beam_free () |
| void | gprune_beam (HTK_HMM_Dens **g, int gnum, int *last_id) |
| Compute a set of Gaussians with beam pruning. | |
説明
Gaussian pruning に関する定義.
- 日付:
- Thu Feb 10 18:55:11 2005
このファイルには, 混合ガウス出力分布を持つHMMにおける音響尤度計算の 高速計算手法の一つである Gaussian pruning に関する定義が含まれています．
- Revision
- 1.4
gprune.h で定義されています。
マクロ定義
| #define TMBEAMWIDTH 5.0 |
Score beam offset for GPRUNE_SEL_BEAM.
Larger value may ease pruning error, but processing may become slower. Smaller value can speed up the acoustic computation, but may cause error.
参照元 set_dimthres().
列挙型
| anonymous enum |
関数
| int cache_push | ( | int | id, | |
| LOGPROB | score, | |||
| int | len | |||
| ) |
Store a score to the current list of computed Gaussians.
Store the calculated score of a Gaussian to OP_calced_score, with its corresponding mixture id to OP_calced_id.
The OP_calced_score and OP_calced_id always holds the (OP_gprune_num)-best scores and ids. If the number of stored Gaussian from start has reached OP_gprune_num and the given score is below the bottom, it will be dropped. Else, the new score will be inserted and the bottom will be dropped from the list.
The OP_calced_score will always kept sorted by the scores.
- 引数:
-
id [in] mixture id of the Gaussian to store score [in] score of the Gaussian to store len [in] current number of stored scores in OP_calced_score
- 戻り値:
- the resulting number of stored scores in OP_calced_score.
gprune_common.c の 87 行で定義されています。
参照元 gprune_beam(), gprune_heu(), と gprune_safe().
| LOGPROB compute_g_base | ( | HTK_HMM_Dens * | binfo | ) |
Calculate probability of a Gaussian density against input vector on OP_vec.
- 引数:
-
binfo [in] a Gaussian density
- 戻り値:
- the output log probability.
gprune_none.c の 58 行で定義されています。
参照元 compute_gs_scores(), gprune_beam(), gprune_heu(), gprune_none(), と gprune_safe().
| boolean gprune_none_init | ( | ) |
Initialize and setup work area for Gaussian computation
- 戻り値:
- TRUE on success, FALSE on failure.
gprune_none.c の 84 行で定義されています。
参照元 outprob_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.
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().
- 引数:
-
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
gprune_none.c の 121 行で定義されています。
参照元 outprob_init().
| LOGPROB compute_g_safe | ( | HTK_HMM_Dens * | binfo, | |
| LOGPROB | thres | |||
| ) |
Calculate probability with safe pruning.
Calculate probability of a Gaussian toward OP_vec, performing pruning using the scholar threshold.
- 引数:
-
binfo [in] Gaussian density thres [in] threshold
- 戻り値:
- the output log probability.
gprune_safe.c の 77 行で定義されています。
参照元 gprune_beam(), gprune_heu(), と gprune_safe().
| boolean gprune_safe_init | ( | ) |
Initialize and setup work area for Gaussian pruning by safe algorithm.
- 戻り値:
- TRUE on success, FALSE on failure.
gprune_safe.c の 106 行で定義されています。
参照元 outprob_init().
| void gprune_safe_free | ( | ) |
| void gprune_safe | ( | HTK_HMM_Dens ** | g, | |
| int | gnum, | |||
| int * | last_id | |||
| ) |
Compute a set of Gaussians with safe pruning.
If the N-best mixtures in the previous frame is specified in last_id, They are first computed to set the initial threshold. After that, the rest of the Gaussians will be computed with the thresholds to drop unpromising Gaussians from computation at early stage of likelihood computation. If the computation of a Gaussian reached to the end, the threshold will be updated to always hold the likelihood of current N-best score.
The calculated scores will be stored to OP_calced_score, with its corresponding mixture id to OP_calced_id. These are done by calling cache_push(). The number of calculated mixtures is also stored in OP_calced_num.
This can be called from calc_tied_mix() or calc_mix().
- 引数:
-
g [in] set of Gaussian densities to compute the output probability gnum [in] length of above last_id [in] ID list of N-best mixture in previous input frame, or NULL if not exist
gprune_safe.c の 154 行で定義されています。
参照元 outprob_init().
| boolean gprune_heu_init | ( | ) |
Initialize and setup work area for Gaussian pruning by heuristic algorithm.
- 戻り値:
- TRUE on success, FALSE on failure.
gprune_heu.c の 235 行で定義されています。
参照元 outprob_init().
| void gprune_heu_free | ( | ) |
| void gprune_heu | ( | HTK_HMM_Dens ** | g, | |
| int | gnum, | |||
| int * | last_id | |||
| ) |
Compute a set of Gaussians with heuristic pruning.
If the N-best mixtures in the previous frame is specified in last_id, They are first computed to get the maximum value for each dimension. After that, the rest of the Gaussians will be computed using the maximum values as heuristics of uncomputed dimensions to drop unpromising Gaussians from computation at early stage of likelihood computation. If the last_id is not specified (typically at the first frame of the input), a safe pruning as same as one in gprune_safe.c will be applied.
The calculated scores will be stored to OP_calced_score, with its corresponding mixture id to OP_calced_id. These are done by calling cache_push(). The number of calculated mixtures is also stored in OP_calced_num.
This can be called from calc_tied_mix() or calc_mix().
- 引数:
-
g [in] set of Gaussian densities to compute the output probability gnum [in] length of above last_id [in] ID list of N-best mixture in previous input frame, or NULL if not exist
gprune_heu.c の 288 行で定義されています。
参照元 outprob_init().
| boolean gprune_beam_init | ( | ) |
Initialize and setup work area for Gaussian pruning by beam algorithm.
- 戻り値:
- TRUE on success, FALSE on failure.
gprune_beam.c の 225 行で定義されています。
参照元 outprob_init().
| void gprune_beam_free | ( | ) |
| void gprune_beam | ( | HTK_HMM_Dens ** | g, | |
| int | gnum, | |||
| int * | last_id | |||
| ) |
Compute a set of Gaussians with beam pruning.
If the N-best mixtures in the previous frame is specified in last_id, They are first computed to set the thresholds for each dimension. After that, the rest of the Gaussians will be computed with those dimension thresholds to drop unpromising Gaussians from computation at early stage of likelihood computation. If the last_id is not specified (typically at the first frame of the input), a safe pruning as same as one in gprune_safe.c will be applied.
The calculated scores will be stored to OP_calced_score, with its corresponding mixture id to OP_calced_id. These are done by calling cache_push(). The number of calculated mixtures is also stored in OP_calced_num.
This can be called from calc_tied_mix() or calc_mix().
- 引数:
-
g [in] set of Gaussian densities to compute the output probability gnum [in] length of above last_id [in] ID list of N-best mixture in previous input frame, or NULL if not exist
gprune_beam.c の 277 行で定義されています。
参照元 outprob_init().
