/*  ----------------------------------------------------------------	Speech Signal Processing Toolkit (SPTK): version 3.0			 SPTK Working Group		   Department of Computer Science		   Nagoya Institute of Technology				and    Interdisciplinary Graduate School of Science and Engineering		   Tokyo Institute of Technology		      Copyright (c) 1984-2000			All Rights Reserved.  Permission is hereby granted, free of charge, to use and  distribute this software and its documentation without  restriction, including without limitation the rights to use,  copy, modify, merge, publish, distribute, sublicense, and/or  sell copies of this work, and to permit persons to whom this  work is furnished to do so, subject to the following conditions:    1. The code must retain the above copyright notice, this list       of conditions and the following disclaimer.    2. Any modifications must be clearly marked as such.  NAGOYA INSTITUTE OF TECHNOLOGY, TOKYO INSITITUTE OF TECHNOLOGY,  SPTK WORKING GROUP, AND THE CONTRIBUTORS TO THIS WORK DISCLAIM  ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL  IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT  SHALL NAGOYA INSTITUTE OF TECHNOLOGY, TOKYO INSITITUTE OF  TECHNOLOGY, SPTK WORKING GROUP, NOR THE CONTRIBUTORS BE LIABLE  FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY  DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,  WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS  ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR  PERFORMANCE OF THIS SOFTWARE. ----------------------------------------------------------------*//*************************************************************************									**    Adaptive Generalized Cepstral Analysis				**									**					1991.11 K.Tokuda		**					1996.1  K.Koishida		**									**	usage:								**		agcep [ options ] [ pefile ] < stdin > stdout		**	options:							**		-m m     :  order of generalized cepstrum	[25]	**		-g g     :  -1 / gamma				[1]	**		-l l     :  leakage factor			[0.98]	**		-t t     :  momentum constant			[0.9]	**		-k k     :  step size				[0.1]	**		-p p     :  output period of cepstrum		[1]	**		-s       :  smooth (average) cepstrum		[FALSE]	**		-n       :  output normalized cepstrum 		[FALSE]	**		-e e	 :  minimum value for epsilon		[0.0]	**	infile:								**		data sequence						**		    , x(0), x(1), ...	 				**	stdout:								**		generalized cepstrum					**		    , c(0), c(1), ..., c(m),				**	output:								**		prediction error (if pefile is specified)		**		    , e(0), e(1), ...					**	require:							**		iglsadf1(), ignorm()					**									*************************************************************************/static char *rcs_id = "$Id: agcep.c,v 1.2 2002/12/25 05:28:27 sako Exp $";/*  Standard C Libraries  */#include <stdio.h>#include <string.h>#include <SPTK.h>typedef enum _Boolean {FA, TR} Boolean;char *BOOL[] = {"FALSE", "TRUE"};/*  Required Functions  */double	iglsadf1(), sqrt();/*  Default Values  */#define ORDER		25#define STAGE		1#define LAMBDA		0.98#define STEP		0.1#define PERIOD		1#define AVERAGE		FA#define NORM		FA#define TAU		0.9#define EPS		0.0/*  Command Name  */char	*cmnd;void usage(int status){    fprintf(stderr, "\n");    fprintf(stderr, " %s - adaptive generalized cepstral analysis\n",cmnd);    fprintf(stderr, "\n");    fprintf(stderr, "  usage:\n");    fprintf(stderr, "       %s [ options ] [ pefile ] < stdin > stdout\n", cmnd);    fprintf(stderr, "  options:\n");    fprintf(stderr, "       -m m  : order of generalized cepstrum          [%d]\n", ORDER);    fprintf(stderr, "       -g g  : -1 / gamma                             [%d]\n", STAGE);    fprintf(stderr, "       -l l  : leakage factor                         [%g]\n", LAMBDA);    fprintf(stderr, "       -t t  : momentum constant                      [%g]\n", TAU);    fprintf(stderr, "       -k k  : step size                              [%g]\n", STEP);    fprintf(stderr, "       -p p  : output period of generalized cepstrum  [%d]\n", PERIOD);    fprintf(stderr, "       -s    : output smoothed generalized cepstrum   [%s]\n", BOOL[AVERAGE]);    fprintf(stderr, "       -n    : output normalized generalized cepstrum [%s]\n", BOOL[NORM]);    fprintf(stderr, "       -e e  : minimum value for epsilon              [%g]\n", EPS);    fprintf(stderr, "       -h    : print this message\n");    fprintf(stderr, "  stdin:\n");    fprintf(stderr, "       data sequence (float)\n");    fprintf(stderr, "  stdout:\n");    fprintf(stderr, "       generalized cepstrum (float)\n");    fprintf(stderr, "  pefile:\n");    fprintf(stderr, "       prediction error (float)\n");    fprintf(stderr, "\n");    exit(status);}void main(int argc, char **argv){    int	     m = ORDER, period = PERIOD, stage = STAGE, i, j;    FILE     *fp = stdin, *fpe = NULL;    Boolean  ave = AVERAGE, norm = NORM;    double   lambda = LAMBDA, step = STEP,eps = EPS,             *c, *cc, *eg, *ep, *d, *avec, tau = TAU,             x, ee, ll, gg, mu, gamma, tt, ttx,atof();    if ((cmnd = strrchr(argv[0], '/')) == NULL)	cmnd = argv[0];    else	cmnd++;    while (--argc)	if (**++argv == '-') {	    switch (*(*argv+1)) {	        case 'l':		    lambda = atof(*++argv);		    --argc;		    break;		case 't':		    tau = atof(*++argv);		    --argc;		    break;	        case 'k':		    step = atof(*++argv);		    --argc;		    break;		case 'm':		    m = atoi(*++argv);		    --argc;		    break;		case 'g':		    stage = atoi(*++argv);		    --argc;		    break;		case 'p':		    period = atoi(*++argv);		    --argc;		    break;		case 's':		    ave = 1 - ave;		    break;		case 'n':		    norm = 1 - norm;		    break;		case 'e':		    eps = atof(*++argv);		    --argc;		    break;		case 'h':		    usage(0);		default:		    fprintf(stderr, "%s : Invalid option '%c' !\n", cmnd, *(*argv+1));		    usage(1);		}	}	else	    fpe = getfp(*argv, "w");    c  = dgetmem(5*(m+1)+m*stage);    cc = c  + m + 1;    eg = cc + m + 1;    ep = eg + m + 1;    avec = ep + m + 1;    d = avec  + m + 1;    gamma = -1.0 / (double)stage;        j  = period;    ll = 1.0 - lambda;    gg = 1.0;    ee = 1.0;    step /= (double)m;    tt = 2 * (1.0 - tau);        while (freadf(&x, sizeof(x), 1, fp) == 1){	eg[m] = d[stage*m-1];	x = iglsadf1(x, c, m, stage, d);	movem(d+(stage-1)*m, eg, sizeof(*d), m);		gg = lambda * gg  + ll * eg[0] * eg[0];	gg = ( gg < eps )? eps : gg;	mu = step / gg;	ttx = tt * x;		for(i=1; i<=m; i++){	    ep[i] = tau * ep[i] - ttx * eg[i];	    c[i] -= mu * ep[i];	}	ee = lambda * ee + ll * x * x;	c[0] = sqrt(ee);	if(ave)	    for(i=0; i<=m; i++)		avec[i] += c[i];	if (fpe != NULL)	    fwritef(&x, sizeof(x), 1, fpe);		if (--j == 0){	    j = period;	    if (ave){		for(i=0; i<=m; i++)		    avec[i] /= period;		if(! norm)		    ignorm(avec, cc, m, gamma);		fwritef(cc, sizeof(*cc), m+1, stdout);		fillz(avec, sizeof(*avec), m+1);	    }	    else if (! norm){		ignorm(c, cc, m, gamma);		fwritef(cc, sizeof(*cc), m+1, stdout);	    }	    else		fwritef(c, sizeof(*c), m+1, stdout);	}    }    exit(0);}