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2c65582b66
git-svn-id: https://origsvn.digium.com/svn/asterisk/trunk@7221 65c4cc65-6c06-0410-ace0-fbb531ad65f3
666 lines
19 KiB
C
666 lines
19 KiB
C
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/******************************************************************
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iLBC Speech Coder ANSI-C Source Code
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enhancer.c
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Copyright (C) The Internet Society (2004).
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All Rights Reserved.
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******************************************************************/
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#include <math.h>
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#include <string.h>
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#include "iLBC_define.h"
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#include "enhancer.h"
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#include "constants.h"
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#include "filter.h"
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/*----------------------------------------------------------------*
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* Find index in array such that the array element with said
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* index is the element of said array closest to "value"
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* according to the squared-error criterion
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*---------------------------------------------------------------*/
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static void NearestNeighbor(
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int *index, /* (o) index of array element closest
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to value */
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float *array, /* (i) data array */
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float value,/* (i) value */
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int arlength/* (i) dimension of data array */
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){
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int i;
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float bestcrit,crit;
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crit=array[0]-value;
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bestcrit=crit*crit;
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*index=0;
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for (i=1; i<arlength; i++) {
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crit=array[i]-value;
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crit=crit*crit;
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if (crit<bestcrit) {
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bestcrit=crit;
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*index=i;
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}
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}
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}
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/*----------------------------------------------------------------*
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* compute cross correlation between sequences
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*---------------------------------------------------------------*/
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static void mycorr1(
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float* corr, /* (o) correlation of seq1 and seq2 */
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float* seq1, /* (i) first sequence */
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int dim1, /* (i) dimension first seq1 */
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const float *seq2, /* (i) second sequence */
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int dim2 /* (i) dimension seq2 */
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){
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int i,j;
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for (i=0; i<=dim1-dim2; i++) {
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corr[i]=0.0;
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for (j=0; j<dim2; j++) {
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corr[i] += seq1[i+j] * seq2[j];
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}
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}
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}
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/*----------------------------------------------------------------*
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* upsample finite array assuming zeros outside bounds
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*---------------------------------------------------------------*/
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static void enh_upsample(
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float* useq1, /* (o) upsampled output sequence */
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float* seq1,/* (i) unupsampled sequence */
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int dim1, /* (i) dimension seq1 */
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int hfl /* (i) polyphase filter length=2*hfl+1 */
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){
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float *pu,*ps;
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int i,j,k,q,filterlength,hfl2;
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const float *polyp[ENH_UPS0]; /* pointers to
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polyphase columns */
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const float *pp;
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/* define pointers for filter */
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filterlength=2*hfl+1;
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if ( filterlength > dim1 ) {
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hfl2=(int) (dim1/2);
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for (j=0; j<ENH_UPS0; j++) {
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polyp[j]=polyphaserTbl+j*filterlength+hfl-hfl2;
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}
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hfl=hfl2;
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filterlength=2*hfl+1;
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}
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else {
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for (j=0; j<ENH_UPS0; j++) {
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polyp[j]=polyphaserTbl+j*filterlength;
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}
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}
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/* filtering: filter overhangs left side of sequence */
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pu=useq1;
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for (i=hfl; i<filterlength; i++) {
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for (j=0; j<ENH_UPS0; j++) {
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*pu=0.0;
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pp = polyp[j];
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ps = seq1+i;
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for (k=0; k<=i; k++) {
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*pu += *ps-- * *pp++;
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}
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pu++;
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}
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}
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/* filtering: simple convolution=inner products */
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for (i=filterlength; i<dim1; i++) {
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for (j=0;j<ENH_UPS0; j++){
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*pu=0.0;
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pp = polyp[j];
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ps = seq1+i;
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for (k=0; k<filterlength; k++) {
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*pu += *ps-- * *pp++;
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}
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pu++;
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}
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}
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/* filtering: filter overhangs right side of sequence */
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for (q=1; q<=hfl; q++) {
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for (j=0; j<ENH_UPS0; j++) {
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*pu=0.0;
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pp = polyp[j]+q;
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ps = seq1+dim1-1;
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for (k=0; k<filterlength-q; k++) {
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*pu += *ps-- * *pp++;
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}
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pu++;
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}
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}
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}
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/*----------------------------------------------------------------*
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* find segment starting near idata+estSegPos that has highest
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* correlation with idata+centerStartPos through
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* idata+centerStartPos+ENH_BLOCKL-1 segment is found at a
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* resolution of ENH_UPSO times the original of the original
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* sampling rate
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*---------------------------------------------------------------*/
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static void refiner(
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float *seg, /* (o) segment array */
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float *updStartPos, /* (o) updated start point */
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float* idata, /* (i) original data buffer */
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int idatal, /* (i) dimension of idata */
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int centerStartPos, /* (i) beginning center segment */
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float estSegPos,/* (i) estimated beginning other segment */
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float period /* (i) estimated pitch period */
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){
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int estSegPosRounded,searchSegStartPos,searchSegEndPos,corrdim;
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int tloc,tloc2,i,st,en,fraction;
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float vect[ENH_VECTL],corrVec[ENH_CORRDIM],maxv;
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float corrVecUps[ENH_CORRDIM*ENH_UPS0];
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/* defining array bounds */
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estSegPosRounded=(int)(estSegPos - 0.5);
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searchSegStartPos=estSegPosRounded-ENH_SLOP;
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if (searchSegStartPos<0) {
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searchSegStartPos=0;
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}
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searchSegEndPos=estSegPosRounded+ENH_SLOP;
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if (searchSegEndPos+ENH_BLOCKL >= idatal) {
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searchSegEndPos=idatal-ENH_BLOCKL-1;
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}
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corrdim=searchSegEndPos-searchSegStartPos+1;
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/* compute upsampled correlation (corr33) and find
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location of max */
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mycorr1(corrVec,idata+searchSegStartPos,
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corrdim+ENH_BLOCKL-1,idata+centerStartPos,ENH_BLOCKL);
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enh_upsample(corrVecUps,corrVec,corrdim,ENH_FL0);
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tloc=0; maxv=corrVecUps[0];
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for (i=1; i<ENH_UPS0*corrdim; i++) {
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if (corrVecUps[i]>maxv) {
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tloc=i;
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maxv=corrVecUps[i];
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}
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}
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/* make vector can be upsampled without ever running outside
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bounds */
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*updStartPos= (float)searchSegStartPos +
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(float)tloc/(float)ENH_UPS0+(float)1.0;
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tloc2=(int)(tloc/ENH_UPS0);
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if (tloc>tloc2*ENH_UPS0) {
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tloc2++;
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}
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st=searchSegStartPos+tloc2-ENH_FL0;
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if (st<0) {
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memset(vect,0,-st*sizeof(float));
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memcpy(&vect[-st],idata, (ENH_VECTL+st)*sizeof(float));
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}
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else {
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en=st+ENH_VECTL;
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if (en>idatal) {
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memcpy(vect, &idata[st],
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(ENH_VECTL-(en-idatal))*sizeof(float));
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memset(&vect[ENH_VECTL-(en-idatal)], 0,
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(en-idatal)*sizeof(float));
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}
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else {
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memcpy(vect, &idata[st], ENH_VECTL*sizeof(float));
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}
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}
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fraction=tloc2*ENH_UPS0-tloc;
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/* compute the segment (this is actually a convolution) */
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mycorr1(seg,vect,ENH_VECTL,polyphaserTbl+(2*ENH_FL0+1)*fraction,
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2*ENH_FL0+1);
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}
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/*----------------------------------------------------------------*
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* find the smoothed output data
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*---------------------------------------------------------------*/
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static void smath(
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float *odata, /* (o) smoothed output */
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float *sseq,/* (i) said second sequence of waveforms */
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int hl, /* (i) 2*hl+1 is sseq dimension */
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float alpha0/* (i) max smoothing energy fraction */
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){
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int i,k;
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float w00,w10,w11,A,B,C,*psseq,err,errs;
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float surround[BLOCKL_MAX]; /* shape contributed by other than
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current */
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float wt[2*ENH_HL+1]; /* waveform weighting to get
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surround shape */
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float denom;
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/* create shape of contribution from all waveforms except the
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current one */
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for (i=1; i<=2*hl+1; i++) {
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wt[i-1] = (float)0.5*(1 - (float)cos(2*PI*i/(2*hl+2)));
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}
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wt[hl]=0.0; /* for clarity, not used */
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for (i=0; i<ENH_BLOCKL; i++) {
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surround[i]=sseq[i]*wt[0];
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}
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for (k=1; k<hl; k++) {
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psseq=sseq+k*ENH_BLOCKL;
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for(i=0;i<ENH_BLOCKL; i++) {
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surround[i]+=psseq[i]*wt[k];
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}
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}
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for (k=hl+1; k<=2*hl; k++) {
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psseq=sseq+k*ENH_BLOCKL;
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for(i=0;i<ENH_BLOCKL; i++) {
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surround[i]+=psseq[i]*wt[k];
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}
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}
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/* compute some inner products */
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w00 = w10 = w11 = 0.0;
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psseq=sseq+hl*ENH_BLOCKL; /* current block */
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for (i=0; i<ENH_BLOCKL;i++) {
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w00+=psseq[i]*psseq[i];
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w11+=surround[i]*surround[i];
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w10+=surround[i]*psseq[i];
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}
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if (fabs(w11) < 1.0) {
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w11=1.0;
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}
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C = (float)sqrt( w00/w11);
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/* first try enhancement without power-constraint */
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errs=0.0;
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psseq=sseq+hl*ENH_BLOCKL;
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for (i=0; i<ENH_BLOCKL; i++) {
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odata[i]=C*surround[i];
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err=psseq[i]-odata[i];
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errs+=err*err;
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}
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/* if constraint violated by first try, add constraint */
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if (errs > alpha0 * w00) {
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if ( w00 < 1) {
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w00=1;
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}
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denom = (w11*w00-w10*w10)/(w00*w00);
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if (denom > 0.0001) { /* eliminates numerical problems
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for if smooth */
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A = (float)sqrt( (alpha0- alpha0*alpha0/4)/denom);
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B = -alpha0/2 - A * w10/w00;
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B = B+1;
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}
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else { /* essentially no difference between cycles;
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smoothing not needed */
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A= 0.0;
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B= 1.0;
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}
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/* create smoothed sequence */
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psseq=sseq+hl*ENH_BLOCKL;
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for (i=0; i<ENH_BLOCKL; i++) {
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odata[i]=A*surround[i]+B*psseq[i];
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}
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}
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}
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/*----------------------------------------------------------------*
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* get the pitch-synchronous sample sequence
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*---------------------------------------------------------------*/
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static void getsseq(
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float *sseq, /* (o) the pitch-synchronous sequence */
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float *idata, /* (i) original data */
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int idatal, /* (i) dimension of data */
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int centerStartPos, /* (i) where current block starts */
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float *period, /* (i) rough-pitch-period array */
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float *plocs, /* (i) where periods of period array
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are taken */
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int periodl, /* (i) dimension period array */
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int hl /* (i) 2*hl+1 is the number of sequences */
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){
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int i,centerEndPos,q;
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float blockStartPos[2*ENH_HL+1];
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int lagBlock[2*ENH_HL+1];
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float plocs2[ENH_PLOCSL];
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float *psseq;
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centerEndPos=centerStartPos+ENH_BLOCKL-1;
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/* present */
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NearestNeighbor(lagBlock+hl,plocs,
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(float)0.5*(centerStartPos+centerEndPos),periodl);
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blockStartPos[hl]=(float)centerStartPos;
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psseq=sseq+ENH_BLOCKL*hl;
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memcpy(psseq, idata+centerStartPos, ENH_BLOCKL*sizeof(float));
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/* past */
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for (q=hl-1; q>=0; q--) {
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blockStartPos[q]=blockStartPos[q+1]-period[lagBlock[q+1]];
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NearestNeighbor(lagBlock+q,plocs,
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blockStartPos[q]+
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ENH_BLOCKL_HALF-period[lagBlock[q+1]], periodl);
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if (blockStartPos[q]-ENH_OVERHANG>=0) {
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refiner(sseq+q*ENH_BLOCKL, blockStartPos+q, idata,
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idatal, centerStartPos, blockStartPos[q],
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period[lagBlock[q+1]]);
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} else {
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psseq=sseq+q*ENH_BLOCKL;
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memset(psseq, 0, ENH_BLOCKL*sizeof(float));
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}
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}
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/* future */
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for (i=0; i<periodl; i++) {
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plocs2[i]=plocs[i]-period[i];
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}
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for (q=hl+1; q<=2*hl; q++) {
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NearestNeighbor(lagBlock+q,plocs2,
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blockStartPos[q-1]+ENH_BLOCKL_HALF,periodl);
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blockStartPos[q]=blockStartPos[q-1]+period[lagBlock[q]];
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if (blockStartPos[q]+ENH_BLOCKL+ENH_OVERHANG<idatal) {
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refiner(sseq+ENH_BLOCKL*q, blockStartPos+q, idata,
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idatal, centerStartPos, blockStartPos[q],
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period[lagBlock[q]]);
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}
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else {
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psseq=sseq+q*ENH_BLOCKL;
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memset(psseq, 0, ENH_BLOCKL*sizeof(float));
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}
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}
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}
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/*----------------------------------------------------------------*
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* perform enhancement on idata+centerStartPos through
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* idata+centerStartPos+ENH_BLOCKL-1
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*---------------------------------------------------------------*/
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static void enhancer(
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float *odata, /* (o) smoothed block, dimension blockl */
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float *idata, /* (i) data buffer used for enhancing */
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int idatal, /* (i) dimension idata */
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int centerStartPos, /* (i) first sample current block
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within idata */
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float alpha0, /* (i) max correction-energy-fraction
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(in [0,1]) */
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float *period, /* (i) pitch period array */
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float *plocs, /* (i) locations where period array
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values valid */
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int periodl /* (i) dimension of period and plocs */
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){
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float sseq[(2*ENH_HL+1)*ENH_BLOCKL];
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/* get said second sequence of segments */
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getsseq(sseq,idata,idatal,centerStartPos,period,
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plocs,periodl,ENH_HL);
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/* compute the smoothed output from said second sequence */
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smath(odata,sseq,ENH_HL,alpha0);
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}
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/*----------------------------------------------------------------*
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* cross correlation
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*---------------------------------------------------------------*/
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float xCorrCoef(
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float *target, /* (i) first array */
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float *regressor, /* (i) second array */
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int subl /* (i) dimension arrays */
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){
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int i;
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float ftmp1, ftmp2;
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ftmp1 = 0.0;
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ftmp2 = 0.0;
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for (i=0; i<subl; i++) {
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ftmp1 += target[i]*regressor[i];
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ftmp2 += regressor[i]*regressor[i];
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}
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if (ftmp1 > 0.0) {
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return (float)(ftmp1*ftmp1/ftmp2);
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}
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else {
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return (float)0.0;
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}
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}
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/*----------------------------------------------------------------*
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* interface for enhancer
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*---------------------------------------------------------------*/
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int enhancerInterface(
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float *out, /* (o) enhanced signal */
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float *in, /* (i) unenhanced signal */
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iLBC_Dec_Inst_t *iLBCdec_inst /* (i) buffers etc */
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){
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float *enh_buf, *enh_period;
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int iblock, isample;
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int lag=0, ilag, i, ioffset;
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float cc, maxcc;
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float ftmp1, ftmp2;
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float *inPtr, *enh_bufPtr1, *enh_bufPtr2;
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float plc_pred[ENH_BLOCKL];
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float lpState[6], downsampled[(ENH_NBLOCKS*ENH_BLOCKL+120)/2];
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int inLen=ENH_NBLOCKS*ENH_BLOCKL+120;
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int start, plc_blockl, inlag;
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enh_buf=iLBCdec_inst->enh_buf;
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enh_period=iLBCdec_inst->enh_period;
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memmove(enh_buf, &enh_buf[iLBCdec_inst->blockl],
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(ENH_BUFL-iLBCdec_inst->blockl)*sizeof(float));
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memcpy(&enh_buf[ENH_BUFL-iLBCdec_inst->blockl], in,
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iLBCdec_inst->blockl*sizeof(float));
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if (iLBCdec_inst->mode==30)
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plc_blockl=ENH_BLOCKL;
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else
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plc_blockl=40;
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/* when 20 ms frame, move processing one block */
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ioffset=0;
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if (iLBCdec_inst->mode==20) ioffset=1;
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i=3-ioffset;
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memmove(enh_period, &enh_period[i],
|
|
|
|
|
|
(ENH_NBLOCKS_TOT-i)*sizeof(float));
|
|
|
|
/* Set state information to the 6 samples right before
|
|
the samples to be downsampled. */
|
|
|
|
memcpy(lpState,
|
|
enh_buf+(ENH_NBLOCKS_EXTRA+ioffset)*ENH_BLOCKL-126,
|
|
6*sizeof(float));
|
|
|
|
/* Down sample a factor 2 to save computations */
|
|
|
|
DownSample(enh_buf+(ENH_NBLOCKS_EXTRA+ioffset)*ENH_BLOCKL-120,
|
|
lpFilt_coefsTbl, inLen-ioffset*ENH_BLOCKL,
|
|
lpState, downsampled);
|
|
|
|
/* Estimate the pitch in the down sampled domain. */
|
|
for (iblock = 0; iblock<ENH_NBLOCKS-ioffset; iblock++) {
|
|
|
|
lag = 10;
|
|
maxcc = xCorrCoef(downsampled+60+iblock*
|
|
ENH_BLOCKL_HALF, downsampled+60+iblock*
|
|
ENH_BLOCKL_HALF-lag, ENH_BLOCKL_HALF);
|
|
for (ilag=11; ilag<60; ilag++) {
|
|
cc = xCorrCoef(downsampled+60+iblock*
|
|
ENH_BLOCKL_HALF, downsampled+60+iblock*
|
|
ENH_BLOCKL_HALF-ilag, ENH_BLOCKL_HALF);
|
|
|
|
if (cc > maxcc) {
|
|
maxcc = cc;
|
|
lag = ilag;
|
|
}
|
|
}
|
|
|
|
/* Store the estimated lag in the non-downsampled domain */
|
|
enh_period[iblock+ENH_NBLOCKS_EXTRA+ioffset] = (float)lag*2;
|
|
|
|
|
|
}
|
|
|
|
|
|
/* PLC was performed on the previous packet */
|
|
if (iLBCdec_inst->prev_enh_pl==1) {
|
|
|
|
inlag=(int)enh_period[ENH_NBLOCKS_EXTRA+ioffset];
|
|
|
|
lag = inlag-1;
|
|
maxcc = xCorrCoef(in, in+lag, plc_blockl);
|
|
for (ilag=inlag; ilag<=inlag+1; ilag++) {
|
|
cc = xCorrCoef(in, in+ilag, plc_blockl);
|
|
|
|
if (cc > maxcc) {
|
|
maxcc = cc;
|
|
lag = ilag;
|
|
}
|
|
}
|
|
|
|
|
|
|
|
enh_period[ENH_NBLOCKS_EXTRA+ioffset-1]=(float)lag;
|
|
|
|
/* compute new concealed residual for the old lookahead,
|
|
mix the forward PLC with a backward PLC from
|
|
the new frame */
|
|
|
|
inPtr=&in[lag-1];
|
|
|
|
enh_bufPtr1=&plc_pred[plc_blockl-1];
|
|
|
|
if (lag>plc_blockl) {
|
|
start=plc_blockl;
|
|
} else {
|
|
start=lag;
|
|
}
|
|
|
|
for (isample = start; isample>0; isample--) {
|
|
*enh_bufPtr1-- = *inPtr--;
|
|
}
|
|
|
|
enh_bufPtr2=&enh_buf[ENH_BUFL-1-iLBCdec_inst->blockl];
|
|
for (isample = (plc_blockl-1-lag); isample>=0; isample--)
|
|
{
|
|
*enh_bufPtr1-- = *enh_bufPtr2--;
|
|
}
|
|
|
|
/* limit energy change */
|
|
ftmp2=0.0;
|
|
ftmp1=0.0;
|
|
for (i=0;i<plc_blockl;i++) {
|
|
ftmp2+=enh_buf[ENH_BUFL-1-iLBCdec_inst->blockl-i]*
|
|
enh_buf[ENH_BUFL-1-iLBCdec_inst->blockl-i];
|
|
ftmp1+=plc_pred[i]*plc_pred[i];
|
|
}
|
|
ftmp1=(float)sqrt(ftmp1/(float)plc_blockl);
|
|
ftmp2=(float)sqrt(ftmp2/(float)plc_blockl);
|
|
if (ftmp1>(float)2.0*ftmp2 && ftmp1>0.0) {
|
|
for (i=0;i<plc_blockl-10;i++) {
|
|
plc_pred[i]*=(float)2.0*ftmp2/ftmp1;
|
|
}
|
|
for (i=plc_blockl-10;i<plc_blockl;i++) {
|
|
plc_pred[i]*=(float)(i-plc_blockl+10)*
|
|
((float)1.0-(float)2.0*ftmp2/ftmp1)/(float)(10)+
|
|
(float)2.0*ftmp2/ftmp1;
|
|
}
|
|
}
|
|
|
|
enh_bufPtr1=&enh_buf[ENH_BUFL-1-iLBCdec_inst->blockl];
|
|
for (i=0; i<plc_blockl; i++) {
|
|
ftmp1 = (float) (i+1) / (float) (plc_blockl+1);
|
|
*enh_bufPtr1 *= ftmp1;
|
|
*enh_bufPtr1 += ((float)1.0-ftmp1)*
|
|
plc_pred[plc_blockl-1-i];
|
|
enh_bufPtr1--;
|
|
}
|
|
|
|
|
|
}
|
|
|
|
if (iLBCdec_inst->mode==20) {
|
|
/* Enhancer with 40 samples delay */
|
|
for (iblock = 0; iblock<2; iblock++) {
|
|
enhancer(out+iblock*ENH_BLOCKL, enh_buf,
|
|
ENH_BUFL, (5+iblock)*ENH_BLOCKL+40,
|
|
ENH_ALPHA0, enh_period, enh_plocsTbl,
|
|
ENH_NBLOCKS_TOT);
|
|
}
|
|
} else if (iLBCdec_inst->mode==30) {
|
|
/* Enhancer with 80 samples delay */
|
|
for (iblock = 0; iblock<3; iblock++) {
|
|
enhancer(out+iblock*ENH_BLOCKL, enh_buf,
|
|
ENH_BUFL, (4+iblock)*ENH_BLOCKL,
|
|
ENH_ALPHA0, enh_period, enh_plocsTbl,
|
|
ENH_NBLOCKS_TOT);
|
|
}
|
|
}
|
|
|
|
return (lag*2);
|
|
}
|
|
|
|
|