tabledesign.c
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#include "tabledesign.h"
#include "afmap.h"
char usage[] = "[-o order -s bits -t thresh -i refine_iter -f frame_size] aifcfile";
int main(int argc, char *argv[])
{
extern char *optarg;
extern int optind;
int c;
char *progname = argv[0];
double thresh = DEFAULT_THRESH;
int order = DEFAULT_ORDER;
int table_size = DEFAULT_SIZE;
int refine_iter = DEFAULT_REFINE;
int frame_size = DEFAULT_FSIZE;
short *in_buffer;
double *ac, *ref, e2, **a;
double **codebook, **training;
double *dir;
int nframes = 0;
int i, j, d;
int actual_size, n_entries;
int *indx;
int overflow = 0;
double srate;
int ntracks, nsamples, chans, afsamform, afsamwidth;
AFfilehandle afinfile;
if (argc<2){
fprintf(stderr,"%s %s\n",progname,usage);
exit(1);
}
while ((c=getopt(argc,argv,"o:s:t:i:f:"))!=-1){
switch (c) {
case 'o':
if (sscanf(optarg,"%d",&order)!=1)
order = DEFAULT_ORDER;
break;
case 's':
if (sscanf(optarg,"%d",&table_size)!=1)
table_size = DEFAULT_SIZE;
break;
case 'f':
if (sscanf(optarg,"%d",&frame_size)!=1)
frame_size = DEFAULT_FSIZE;
break;
case 'i':
if (sscanf(optarg,"%d",&refine_iter)!=1)
refine_iter = DEFAULT_REFINE;
break;
case 't':
if (sscanf(optarg,"%lf",&thresh)!=1)
thresh = DEFAULT_THRESH;
break;
}
}
argv += optind-1;
if ((afinfile = AFopenfile(argv[1], "r", NULL)) == AF_NULL_FILEHANDLE){
fprintf(stderr,"%s: input AIFC file [%s] could not be opened.\n",progname, argv[1]);
exit(1);
}
/*
* Check for a valid AIFC file
*/
if ((chans = AFgetchannels(afinfile, AF_DEFAULT_TRACK))!=1){
fprintf(stderr,"%s: file [%s] contains %d channels, only 1 channel supported.\n",
progname, argv[1], chans);
exit(1);
}
if ((ntracks = AFgettrackids(afinfile, NULL)) != 1){
fprintf(stderr,"%s: file [%s] contains %d tracks, only 1 track supported.\n",
progname, argv[1], ntracks);
exit(1);
}
AFgetsampfmt(afinfile, AF_DEFAULT_TRACK, &afsamform, &afsamwidth);
if (afsamwidth != 16){
fprintf(stderr,"%s: file [%s] contains %d bit samples, only 16 bit samples supported.\n",
progname, argv[1], afsamwidth);
exit(1);
}
/*
* Initialize codebook storage
*/
codebook = (double **) malloc((1<<table_size)*sizeof(double *));
for (i=0; i<(1<<table_size); i++)
codebook[i] = (double *) malloc((order+1)*sizeof(double));
/*
* Splitting direction
*/
dir = (double *) malloc((order+1)*sizeof(double));
in_buffer = (short *) malloc(2*frame_size*sizeof(short));
for (i=0; i<2*frame_size; i++)
in_buffer[i] = 0;
ac = (double *) malloc((order+1)*sizeof(double));
ref = (double *) malloc((order+1)*sizeof(double));
/* For matrix method */
a = (double **) malloc((order+1)*sizeof(double *));
for (i=0; i<=order; i++)
*(a+i) = (double *) malloc((order+1)*sizeof(double));
indx = (int *) malloc((order+1)*sizeof(int));
nsamples = AFgetframecnt(afinfile, AF_DEFAULT_TRACK);
srate = AFgetrate(afinfile, AF_DEFAULT_TRACK);
/*
* Reserve storage for the training data
*/
training = (double **) malloc(nsamples*sizeof(double *));
nframes = 0;
while(AFreadframes(afinfile, AF_DEFAULT_TRACK, in_buffer+frame_size, frame_size) == frame_size){
acvect(in_buffer+frame_size, order, frame_size, ac);
if (fabs(ac[0]) > thresh){
acmat(in_buffer+frame_size, order, frame_size, a);
/*
* Lower-upper decomposition
*/
if (lud(a, order, indx, &d)==0){
/*
* Put solution in ac
*/
lubksb(a, order, indx, ac);
ac[0] = 1.0;
/*
* Convert to reflection coefficients - reject unstable vectors
*/
if (!kfroma(ac, ref, order)){
/*
* The training data is stored as tap values
*/
training[nframes] = (double *) malloc((order+1)*sizeof(double));
training[nframes][0] = 1.0;
for (i=1; i<=order; i++){
/*
* Stabilize the filter
*/
if (ref[i]>=1.0)
ref[i] = 1.0 - TINY;
if (ref[i]<=-1.0)
ref[i] = -1.0 + TINY;
}
afromk(ref, training[nframes], order);
nframes++;
}
}
}
for (i=0; i<frame_size; i++)
in_buffer[i] = in_buffer[i+frame_size];
}
/*
* To start things off find the average auto-correlation over
* the complete data set.
*/
ac[0] = 1.0;
for (j=1; j<=order; j++)
ac[j] = 0;
for (i=0; i<nframes; i++){
rfroma(training[i], order, codebook[0]);
for (j=1; j<=order; j++)
ac[j] += codebook[0][j];
}
for (j=1; j<=order; j++)
ac[j] = ac[j]/nframes;
/*
* The average model
*/
durbin(ac, order, ref, codebook[0], &e2);
/*
* Stabilize - could put this in durbin
*/
for (j=1; j<=order; j++){
if (ref[j]>=1.0)
ref[j] = 1.0 - TINY;
if (ref[j]<=-1.0)
ref[j] = -1.0 + TINY;
}
afromk(ref, codebook[0], order);
actual_size = 0;
while (actual_size<table_size){
n_entries = 1<<actual_size;
/*
* Split each codebook template into
* two - the original and a shifted version
*/
for (i=0; i<=order; i++)
dir[i] = 0;
dir[order-1] = -1.0;
split(codebook,dir,order,n_entries,0.01);
/*
* Iterative refinement of templates
*/
actual_size++;
refine(codebook, order, 1<<actual_size, training, nframes, refine_iter, 0);
}
n_entries = 1<<actual_size;
/*
* Let's see what it looks like
*/
fprintf(stdout,"%d\n%d\n",order,n_entries);
for (i=0; i<n_entries; i++)
overflow += print_entry(stdout, codebook[i], order);
/*
*
*/
if (overflow>0)
fprintf(stderr,"There was overflow - check the table\n");
return 0;
}