libsent/src/wav2mfcc/ss.c

Go to the documentation of this file.

/*
 * 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/mfcc.h>


static boolean
myread(void *buf, size_t unitbyte, int unitnum, FILE *fp)
{
  size_t tmp;
  if ((tmp = myfread(buf, unitbyte, unitnum, fp)) < (size_t)unitnum) {
    return(FALSE);
  }
#ifndef WORDS_BIGENDIAN
  swap_bytes(buf, unitbyte, unitnum);
#endif
  return(TRUE);
}

float *
new_SS_load_from_file(char *filename, int *slen)
{
  FILE *fp;
  int num;
  float *sbuf;

  /* open file */
  jlog("Stat: ss: reading Noise Spectrum for SS\n");
  if ((fp = fopen_readfile(filename)) == NULL) {
    jlog("Error: ss: failed to open \"%s\"\n", filename);
    return(NULL);
  }
  /* read length */
  if (myread(&num, sizeof(int), 1, fp) == FALSE) {
    jlog("Error: ss: failed to read \"%s\"\n", filename);
    return(NULL);
  }
  /* allocate */
  sbuf = (float *)mymalloc(sizeof(float) * num);
  /* read data */
  if (myread(sbuf, sizeof(float), num, fp) == FALSE) {
    jlog("Error: ss: failed to read \"%s\"\n", filename);
    return(NULL);
  }
  /* close file */
  fclose_readfile(fp);

  *slen = num;
  jlog("Stat: ss: done\n");
  return(sbuf);
}

float *
new_SS_calculate(SP16 *wave, int wavelen, int *slen, MFCCWork *w, Value *para)
{
  float *spec;
  int t, framenum, start, end, k, i;
  double x, y;
  
  /* allocate work area */
  spec = (float *)mymalloc((w->fb.fftN + 1) * sizeof(float));
  for(i=0;i<w->fb.fftN;i++) spec[i] = 0.0;
  
  /* Caluculate sum of noise power spectrum */
  framenum = (int)((wavelen - para->framesize) / para->frameshift) + 1;
  start = 1;
  end = 0;
  for (t = 0; t < framenum; t++) {
    if (end != 0) start = end - (para->framesize - para->frameshift) - 1;
    k = 1;
    for (i = start; i <= start + para->framesize; i++) {
      w->bf[k] = (float)wave[i-1];
      k++;
    }
    end = i;

    if (para->zmeanframe) {
      ZMeanFrame(w->bf, para->framesize);
    }

    /* Pre-emphasis */
    PreEmphasise(w->bf, para->framesize, para->preEmph);
    /* Hamming Window */
    Hamming(w->bf, para->framesize, w);
    /* FFT Spectrum */
    for (i = 1; i <= para->framesize; i++) {
      w->fb.Re[i-1] = w->bf[i]; w->fb.Im[i-1] = 0.0;
    }
    for (i = para->framesize + 1; i <= w->fb.fftN; i++) {
      w->fb.Re[i-1] = 0.0;   w->fb.Im[i-1] = 0.0;
    }
    FFT(w->fb.Re, w->fb.Im, w->fb.n, w);
    /* Sum noise spectrum */
    for(i = 1; i <= w->fb.fftN; i++){
      x = w->fb.Re[i - 1];  y = w->fb.Im[i - 1];
      spec[i - 1] += sqrt(x * x + y * y);
    }
  }

  /* Calculate average noise spectrum */
  for(t=0;t<w->fb.fftN;t++) {
    spec[t] /= (float)framenum;
  }

  /* return the new spec[] */
  *slen = w->fb.fftN;
  return(spec);
}

---