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📄 put_htkdata_info.c

📁 julius version 4.12.about sound recognition.
💻 C
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/** * @file   put_htkdata_info.c *  * <JA> * @brief  %HMM 年盗や泼魔パラメ〖タの攫鼠をテキスト叫蜗する * </JA> *  * <EN> * @brief  Output %HMM and parameter information to standard out * </EN> *  * @author Akinobu LEE * @date   Tue Feb 15 23:36:00 2005 * * $Revision: 1.5 $ *  *//* * Copyright (c) 1991-2007 Kawahara Lab., Kyoto University * Copyright (c) 2000-2005 Shikano Lab., Nara Institute of Science and Technology * Copyright (c) 2005-2007 Julius project team, Nagoya Institute of Technology * All rights reserved */#include <sent/stddefs.h>#include <sent/htk_hmm.h>#include <sent/htk_param.h>#include <sent/hmm.h>#include <sent/hmm_calc.h>/**  * Output transition matrix. *  * @param fp [in] file descriptor * @param t [in] pointer to a transion matrix */voidput_htk_trans(FILE *fp, HTK_HMM_Trans *t){  int i,j;  if (fp == NULL) return;  if (t == NULL) {    fprintf(fp, "no transition\n");  } else {    for (i=0;i<t->statenum;i++) {      for (j=0;j<t->statenum;j++) {	fprintf(fp, " %e", t->a[i][j]);      }      fprintf(fp, "\n");    }  }}/**  * Output variance vector (diagonal). *  * @param fp [in] file descriptor * @param v [in] pointer to a variance data */voidput_htk_var(FILE *fp, HTK_HMM_Var *v){  int i;  if (fp == NULL) return;  if (v == NULL) {    fprintf(fp, "no covariance\n");  } else {    fprintf(fp, "variance(%d): (may be inversed)", v->len);    for (i=0;i<v->len;i++) {      fprintf(fp, " %e", v->vec[i]);    }    fprintf(fp, "\n");  }}/**  * Output a density information, mean and variance. *  * @param fp [in] file descriptor * @param d [in] pointer to a density data */voidput_htk_dens(FILE *fp, HTK_HMM_Dens *d){  int i;    if (fp == NULL) return;  if (d == NULL) {    fprintf(fp, "no dens\n");  } else {    fprintf(fp, "mean(%d):", d->meanlen);    for (i=0;i<d->meanlen;i++) {      fprintf(fp, " %e", d->mean[i]);    }    fprintf(fp, "\n");    put_htk_var(fp, d->var);    fprintf(fp, "gconst: %e\n", d->gconst);  }}/**  * Output a mixture component. *  * @param fp [in] file descriptor * @param m [in] pointer to %HMM mixture PDF */voidput_htk_mpdf(FILE *fp, HTK_HMM_PDF *m){  int i;  GCODEBOOK *book;  if (m == NULL) {    fprintf(fp, "no mixture pdf\n");    return;  }  if (m->name != NULL) fprintf(fp, "  [~p \"%s\"] (stream %d)\n", m->name, m->stream_id + 1);  if (m->tmix) {    book = (GCODEBOOK *)m->b;    fprintf(fp, "  tmix codebook = \"%s\" (size=%d)\n", book->name, book->num);    for (i=0;i<m->mix_num;i++) {      fprintf(fp, "    weight%d = %f\n", i, exp(m->bweight[i]));    }  } else {    for (i=0;i<m->mix_num;i++) {      fprintf(fp, "-- d%d (weight=%f)--\n",i+1,exp(m->bweight[i]));      put_htk_dens(fp, m->b[i]);    }  }}/**  * Output a state. *  * @param fp [in] file descriptor * @param s [in] pointer to %HMM state */voidput_htk_state(FILE *fp, HTK_HMM_State *s){  int st;  if (fp == NULL) return;  if (s == NULL) {    fprintf(fp, "no output state\n");  } else {    if (s->name != NULL) fprintf(fp, "[~s \"%s\"]\n", s->name);    for (st=0;st<s->nstream;st++) {      fprintf(fp, "stream %d:", st + 1);      if (s->w != NULL) {	fprintf(fp, " (weight=%f", s->w->weight[st]);	if (s->w->name != NULL) {	  fprintf(fp, " <- ~w \"%s\"", s->w->name);	}	fprintf(fp, ")");      }      fprintf(fp, "\n");      put_htk_mpdf(fp, s->pdf[st]);    }  }}/**  * Output %HMM model, number of states and information for each state. *  * @param fp [in] file descriptor * @param h [in] pointer to %HMM model */voidput_htk_hmm(FILE *fp, HTK_HMM_Data *h){  int i;    if (fp == NULL) return;  fprintf(fp, "name: %s\n", h->name);  fprintf(fp, "state num: %d\n", h->state_num);  for (i=0;i<h->state_num;i++) {    fprintf(fp, "**** state %d ****\n",i+1);    put_htk_state(fp, h->s[i]);  }  put_htk_trans(fp, h->tr);}/**  * Output logical %HMM data and its mapping status. *  * @param fp [in] file descriptor * @param logical [in] pointer to a logical %HMM */voidput_logical_hmm(FILE *fp, HMM_Logical *logical){  if (fp == NULL) return;  fprintf(fp, "name: %s\n", logical->name);  if (logical->is_pseudo) {    fprintf(fp, "mapped to: %s (pseudo)\n", logical->body.pseudo->name);  } else {    fprintf(fp, "mapped to: %s\n", logical->body.defined->name);  }}/**  * Output transition arcs of an HMM instance. * * @param fp [in] file descriptor * @param d [in] pointer to a HMM instance. */voidput_hmm_arc(FILE *fp, HMM *d){  A_CELL *ac;  int i;  if (fp == NULL) return;  fprintf(fp, "total len: %d\n", d->len);  for (i=0;i<d->len;i++) {    fprintf(fp, "node-%d\n", i);    for (ac=d->state[i].ac;ac;ac=ac->next) {      fprintf(fp, " arc: %d %f (%f)\n",ac->arc, ac->a, pow(10.0, ac->a));    }  }  if (d->accept_ac_a != LOG_ZERO) {    fprintf(fp, "last arc to accept state: %f\n", d->accept_ac_a);  }}/**  * Output output probability information of an HMM instance. *  * @param fp [in] file descriptor * @param d [in] pointer to a HMM instance. */voidput_hmm_outprob(FILE *fp, HMM *d){  int i;  if (fp == NULL) return;  fprintf(fp, "total len: %d\n", d->len);  for (i=0;i<d->len;i++) {    fprintf(fp, "n%d\n", i);    if (d->state[i].is_pseudo_state) {      fprintf(fp, "[[[pseudo state cluster with %d states]]]\n", d->state[i].out.cdset->num);    } else {      put_htk_state(fp, d->state[i].out.state);    }  }}/**  * Output an HMM instance. *  * @param fp [in] file descriptor * @param d [in] pointer to a HMM instance. */voidput_hmm(FILE *fp, HMM *d){  if (fp == NULL) return;  put_hmm_arc(fp, d);  put_hmm_outprob(fp, d);}/**  * Output parameter header. *  * @param fp [in] file descriptor * @param h [in] pointer to a parameter header information */voidput_param_head(FILE *fp, HTK_Param_Header *h){  char buf[128];  if (fp == NULL) return;  fprintf(fp, "num of samples: %d\n", h->samplenum);  fprintf(fp, "window shift: %d ms\n", h->wshift / 10000);  fprintf(fp, "bytes per sample: %d\n", h->sampsize);  fprintf(fp, "parameter type: %s\n", param_code2str(buf, h->samptype, FALSE));}/**  * Output array of vectors. *  * @param fp [in] file descriptor * @param p [in] pointer to vector array represented as [0..num-1][0...veclen-1] * @param num [in] number of vectors in @a p * @param veclen [in] length of each vector */voidput_vec(FILE *fp, VECT **p, int num, short veclen){  int t,v;  if (fp == NULL) return;  for (t=0;t<num;t++) {    fprintf(fp, "%d:\t%8.3f",t,p[t][0]);    for (v=1;v<veclen;v++) {      if ((v % 10) ==0) fprintf(fp, "\n\t");      fprintf(fp, "%8.3f", p[t][v]);    }    fprintf(fp, "\n");  }}/**  * Output the whole parameter information, including header and all vectors. *  * @param fp [in] file descriptor * @param pinfo [in] pointer to parameter structure. */voidput_param(FILE *fp, HTK_Param *pinfo){  if (fp == NULL) return;  put_param_head(fp, &(pinfo->header));  put_vec(fp, pinfo->parvec, pinfo->samplenum, pinfo->veclen);}/**  * Output the length of an input parameter by number of frames and seconds. *  * @param fp [in] file descriptor * @param pinfo [in] pointer to parameter structure. */voidput_param_info(FILE *fp, HTK_Param *pinfo){  HTK_Param_Header *h;  float sec;  if (fp == NULL) return;  h = &(pinfo->header);  sec = (float)h->samplenum * (float)h->wshift / 10000000;  fprintf(fp, "length: %d frames (%.2f sec.)\n", h->samplenum, sec);}/**  * Output total statistic informations of the %HMM definition data. *  * @param fp [in] file descriptor * @param hmminfo [in] %HMM definition data. */voidprint_hmmdef_info(FILE *fp, HTK_HMM_INFO *hmminfo){  char buf[128];  int i, d;  if (fp == NULL) return;  fprintf(fp, " HMM Info:\n");  fprintf(fp, "    %d models, %d states, %d mpdfs, %d Gaussians are defined\n", hmminfo->totalhmmnum, hmminfo->totalstatenum, hmminfo->totalpdfnum, hmminfo->totalmixnum);  fprintf(fp, "\t      model type = ");  if (hmminfo->is_tied_mixture) fprintf(fp, "has tied-mixture, ");  if (hmminfo->opt.stream_info.num > 1) fprintf(fp, "multi-stream, ");#ifdef ENABLE_MSD  if (hmminfo->has_msd) fprintf(fp, "MSD-HMM, ");#endif  fprintf(fp, "context dependency handling %s\n",	     (hmminfo->is_triphone) ? "ON" : "OFF");  fprintf(fp, "      training parameter = %s\n",param_code2str(buf, hmminfo->opt.param_type, FALSE));  fprintf(fp, "\t   vector length = %d\n", hmminfo->opt.vec_size);  fprintf(fp, "\tnumber of stream = %d\n", hmminfo->opt.stream_info.num);  fprintf(fp, "\t     stream info =");  for(d=0,i=0;i<hmminfo->opt.stream_info.num;i++) {    if (hmminfo->opt.stream_info.vsize[i] == 1) {      fprintf(fp, " [%d]", d);    } else {      fprintf(fp, " [%d-%d]", d, d + hmminfo->opt.stream_info.vsize[i] - 1);    }    d += hmminfo->opt.stream_info.vsize[i];  }  fprintf(fp, "\n");  fprintf(fp, "\tcov. matrix type = %s\n", get_cov_str(hmminfo->opt.cov_type));  fprintf(fp, "\t   duration type = %s\n", get_dur_str(hmminfo->opt.dur_type));  if (hmminfo->is_tied_mixture) {    fprintf(fp, "\t    codebook num = %d\n", hmminfo->codebooknum);    fprintf(fp, "       max codebook size = %d\n", hmminfo->maxcodebooksize);  }  fprintf(fp, "\tmax mixture size = %d Gaussians\n", hmminfo->maxmixturenum);  fprintf(fp, "     max length of model = %d states\n", hmminfo->maxstatenum);  fprintf(fp, "     logical base phones = %d\n", hmminfo->basephone.num);  fprintf(fp, "       model skip trans. = ");  if (hmminfo->need_multipath) {    fprintf(fp, "exist, require multi-path handling\n");  } else {    fprintf(fp, "not exist, no multi-path handling\n");  }  if (hmminfo->need_multipath) {    fprintf(fp, "      skippable models =");    {      HTK_HMM_Data *dtmp;      int n = 0;      for (dtmp = hmminfo->start; dtmp; dtmp = dtmp->next) {	if (is_skippable_model(dtmp)) {	  fprintf(fp, " %s", dtmp->name);	  n++;	}      }      if (n == 0) {	fprintf(fp, " none\n");      } else {	fprintf(fp, " (%d model(s))\n", n);      }    }  }}

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