/******************************************************************************
* *
* Copyright (c) 1999-2003 Wimba S.A., All Rights Reserved. *
* *
* COPYRIGHT: *
* This software is the property of Wimba S.A. *
* This software is redistributed under the Xiph.org variant of *
* the BSD license. *
* Redistribution and use in source and binary forms, with or without *
* modification, are permitted provided that the following conditions *
* are met: *
* - Redistributions of source code must retain the above copyright *
* notice, this list of conditions and the following disclaimer. *
* - Redistributions in binary form must reproduce the above copyright *
* notice, this list of conditions and the following disclaimer in the *
* documentation and/or other materials provided with the distribution. *
* - Neither the name of Wimba, the Xiph.org Foundation nor the names of *
* its contributors may be used to endorse or promote products derived *
* from this software without specific prior written permission. *
* *
* WARRANTIES: *
* This software is made available by the authors in the hope *
* that it will be useful, but without any warranty. *
* Wimba S.A. is not liable for any consequence related to the *
* use of the provided software. *
* *
* Class: Filters.java *
* *
* Author: James LAWRENCE *
* Modified by: Marc GIMPEL *
* Based on code by: Jean-Marc VALIN *
* *
* Date: March 2003 *
* *
******************************************************************************/
/* $Id: Filters.java,v 1.2 2004/10/21 16:21:57 mgimpel Exp $ */
/* Copyright (C) 2002 Jean-Marc Valin
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- Neither the name of the Xiph.org Foundation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.xiph.speex;
/**
* Filters
*
* @author Jim Lawrence, helloNetwork.com
* @author Marc Gimpel, Wimba S.A. (mgimpel@horizonwimba.com)
* @version $Revision: 1.2 $
*/
public class Filters
{
private int last_pitch;
private float[] last_pitch_gain;
private float smooth_gain;
private float[] xx;
/**
* Constructor
*/
public Filters()
{
last_pitch_gain = new float[3];
xx = new float[1024];
}
/**
* Initialisation
*/
public void init()
{
last_pitch=0;
last_pitch_gain[0]=last_pitch_gain[1]=last_pitch_gain[2]=0;
smooth_gain=1;
}
/**
* bw_lpc
* @param gamma
* @param lpc_in
* @param lpc_out
* @param order
*/
public static final void bw_lpc(final float gamma,
final float[] lpc_in,
final float[] lpc_out,
final int order)
{
float tmp=1;
for (int i=0; i<order+1; i++) {
lpc_out[i] = tmp * lpc_in[i];
tmp *= gamma;
}
}
/**
* filter_mem2
* @param x
* @param xs
* @param num
* @param den
* @param N
* @param ord
* @param mem
* @param ms
*/
public static final void filter_mem2(final float[] x,
final int xs,
final float[] num,
final float[] den,
final int N,
final int ord,
final float[] mem,
final int ms)
{
int i, j;
float xi, yi;
for (i=0; i<N; i++) {
xi = x[xs+i];
x[xs+i] = num[0]*xi + mem[ms+0];
yi = x[xs+i];
for (j=0; j<ord-1; j++) {
mem[ms+j] = mem[ms+j+1] + num[j+1]*xi - den[j+1]*yi;
}
mem[ms+ord-1] = num[ord]*xi - den[ord]*yi;
}
}
/**
* filter_mem2
* @param x
* @param xs
* @param num
* @param den
* @param y
* @param ys
* @param N
* @param ord
* @param mem
* @param ms
*/
public static final void filter_mem2(final float[] x,
final int xs,
final float[] num,
final float[] den,
final float[] y,
final int ys,
final int N,
final int ord,
final float[] mem,
final int ms)
{
int i, j;
float xi, yi;
for (i=0; i<N; i++) {
xi = x[xs + i];
y[ys + i] = num[0]*xi + mem[0];
yi = y[ys + i];
for (j=0; j<ord-1; j++) {
mem[ms+j] = mem[ms+j+1] + num[j+1]*xi - den[j+1]*yi;
}
mem[ms+ord-1] = num[ord]*xi - den[ord]*yi;
}
}
/**
* iir_mem2
* @param x
* @param xs
* @param den
* @param y
* @param ys
* @param N
* @param ord
* @param mem
*/
public static final void iir_mem2(final float[] x,
final int xs,
final float[] den,
final float[] y,
final int ys,
final int N,
final int ord,
final float[] mem)
{
int i, j;
for (i=0; i<N; i++) {
y[ys+i] = x[xs+i] + mem[0];
for (j=0; j<ord-1; j++) {
mem[j] = mem[j+1] - den[j+1]*y[ys+i];
}
mem[ord-1] = - den[ord]*y[ys+i];
}
}
/**
* fir_mem2
* @param x
* @param xs
* @param num
* @param y
* @param ys
* @param N
* @param ord
* @param mem
*/
public static final void fir_mem2(final float[] x,
final int xs,
final float[] num,
final float[] y,
final int ys,
final int N,
final int ord,
final float[] mem)
{
int i,j;
float xi;
for (i=0; i<N; i++) {
xi=x[xs+i];
y[ys+i] = num[0]*xi + mem[0];
for (j=0; j<ord-1; j++) {
mem[j] = mem[j+1] + num[j+1]*xi;
}
mem[ord-1] = num[ord]*xi;
}
}
/**
* syn_percep_zero
* @param xx
* @param xxs
* @param ak
* @param awk1
* @param awk2
* @param y
* @param N
* @param ord
*/
public static final void syn_percep_zero(final float[] xx,
final int xxs,
final float[] ak,
final float[] awk1,
final float[] awk2,
final float[] y,
final int N,
final int ord)
{
int i;
float[] mem = new float[ord];
// for (i=0;i<ord;i++)
// mem[i]=0;
filter_mem2(xx, xxs, awk1, ak, y, 0, N, ord, mem, 0);
for (i=0; i<ord; i++)
mem[i]=0;
iir_mem2(y, 0, awk2, y, 0, N, ord, mem);
}
/**
* residue_percep_zero
* @param xx
* @param xxs
* @param ak
* @param awk1
* @param awk2
* @param y
* @param N
* @param ord
*/
public static final void residue_percep_zero(final float[] xx,
final int xxs,
final float[] ak,
final float[] awk1,
final float[] awk2,
final float[] y,
final int N,
final int ord)
{
int i;
float[] mem = new float[ord];
// for (i=0;i<ord;i++)
// mem[i]=0;
filter_mem2(xx, xxs, ak, awk1, y, 0, N, ord, mem, 0);
for (i=0; i<ord; i++)
mem[i]=0;
fir_mem2(y, 0, awk2, y, 0, N, ord, mem);
}
/**
* fir_mem_up
* @param x
* @param a
* @param y
* @param N
* @param M
* @param mem
*/
public void fir_mem_up(final float[] x,
final float[] a,
final float[] y,
final int N,
final int M,
final float[] mem)
{
int i, j;
for (i=0; i<N/2; i++)
xx[2*i] = x[N/2-1-i];
for (i=0; i<M-1; i+=2)
xx[N+i] = mem[i+1];
for (i=0; i<N; i+=4) {
float y0, y1, y2, y3, x0;
y0 = y1 = y2 = y3 = 0.f;
x0 = xx[N-4-i];
for (j=0; j<M; j+=4) {
float x1, a0, a1;
a0 = a[j];
a1 = a[j+1];
x1 = xx[N-2+j-i];
y0 += a0 * x1;
y1 += a1 * x1;
y2 += a0 * x0;
y3 += a1 * x0;
a0 = a[j+2];
a1 = a[j+3];
x0 = xx[N+j-i];
y0 += a0 * x0;
y1 += a1 * x0;
y2 += a0 * x1;
y3 += a1 * x1;
}
y[i] = y0;
y[i+1] = y1;
y[i+2] = y2;
y[i+3] = y3;
}
for (i=0; i<M-1; i+=2)
mem[i+1] = xx[i];
}
/**
* Comb Filter
* @param exc - decoded excitation
* @param esi
* @param new_exc - enhanced excitation
* @param nsi
* @param nsf - sub-frame size
* @param pitch - pitch period
* @param pitch_gain - pitch gain (3-tap)
* @param comb_gain - gain of comb filter
*/
public void comb_filter(final float[] exc,
final int esi,
final float[] new_exc,
final int nsi,
final int nsf,
final int pitch,
final float[] pitch_gain,
float comb_gain)
{
int i, j;
float exc_energy=0.0f, new_exc_energy=0.0f;
float gain, step, fact, g=0.0f;
/*Compute excitation energy prior to enhancement*/
for (i=esi; i<esi+nsf; i++) {
exc_energy+=exc[i]*exc[i];
}
/* Some gain adjustment if pitch is too high or if unvoiced */
g = .5f*Math.abs(pitch_gain[0] + pitch_gain[1] + pitch_gain[2] +
last_pitch_gain[0] + last_pitch_gain[1] + last_pitch_gain[2]);
if (g>1.3f)
comb_gain*=1.3f/g;
if (g<.5f)
comb_gain*=2.0f*g;
step = 1.0f/nsf;
fact=0;
/* Apply pitch comb-filter (filter out noise between pitch harmonics)*/
for (i=0, j=esi; i<nsf; i++, j++) {
fact += step;
new_exc[nsi+i] = exc[j] + comb_gain * fact * (pitch_gain[0]*exc[j-pitch+1] +
pitch_gain[1]*exc[j-pitch] +
pitch_gain[2]*exc[j-pitch-1])
+ comb_gain * (1.0f-fact) * (last_pitch_gain[0]*exc[j-last_pitch+1] +
last_pitch_gain[1]*exc[j-last_pitch] +
last_pitch_gain[2]*exc[j-last_pitch-1]);
}
last_pitch_gain[0] = pitch_gain[0];
last_pitch_gain[1] = pitch_gain[1];
last_pitch_gain[2] = pitch_gain[2];
last_pitch = pitch;
/* Gain after enhancement*/
for (i=nsi;i<nsi+nsf;i++)
new_exc_energy+=new_exc[i]*new_exc[i];
/* Compute scaling factor and normalize energy*/
gain = (float) (Math.sqrt(exc_energy/(.1f+new_exc_energy)));
if (gain < .5f) {
gain=.5f;
}
if (gain>1.0f) {
gain=1.0f;
}
for (i=nsi;i<nsi+nsf;i++) {
smooth_gain = .96f*smooth_gain + .04f*gain;
new_exc[i] *= smooth_gain;
}
}
/**
* Quadrature Mirror Filter to Split the band in two.
* A 16kHz signal is thus divided into two 8kHz signals representing the low and high bands.
* (used by wideband encoder)
* @param xx
* @param aa
* @param y1
* @param y2
* @param N
* @param M
* @param mem
*/
public static final void qmf_decomp(final float[] xx,
final float[] aa,
final float[] y1,
final float[] y2,
final int N,
final int M,
final float[] mem)
{
int i,j,k,M2;
float[] a;
float[] x;
int x2;
a = new float[M];
x = new float[N+M-1];
x2=M-1;
M2=M>>1;
for (i=0; i<M; i++)
a[M-i-1]=aa[i];
for (i=0; i<M-1; i++)
x[i]=mem[M-i-2];
for (i=0; i<N; i++)
x[i+M-1]=xx[i];
for (i=0, k=0; i<N; i+=2, k++) {
y1[k]=0;
y2[k]=0;
for (j=0; j<M2; j++) {
y1[k]+=a[j]*(x[i+j]+x[x2+i-j]);
y2[k]-=a[j]*(x[i+j]-x[x2+i-j]);
j++;
y1[k]+=a[j]*(x[i+j]+x[x2+i-j]);
y2[k]+=a[j]*(x[i+j]-x[x2+i-j]);
}
}
for (i=0;i<M-1;i++)
mem[i]=xx[N-i-1];
}
}