2009-01-05 12:41:40 +00:00
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/*
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* Copyright (C) 2004 Alex Beregszaszi & Pierre Lombard
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*
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* This file is part of MPlayer.
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*
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* MPlayer is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* MPlayer is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with MPlayer; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*/
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2004-10-04 19:11:05 +00:00
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#include <stdio.h>
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#include <stdlib.h>
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2009-07-06 23:26:13 +00:00
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#include <string.h>
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2004-10-04 19:11:05 +00:00
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#include <inttypes.h>
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#include <math.h>
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#include <limits.h>
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#include "af.h"
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// Methods:
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// 1: uses a 1 value memory and coefficients new=a*old+b*cur (with a+b=1)
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// 2: uses several samples to smooth the variations (standard weighted mean
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// on past samples)
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// Size of the memory array
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// FIXME: should depend on the frequency of the data (should be a few seconds)
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#define NSAMPLES 128
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// If summing all the mem[].len is lower than MIN_SAMPLE_SIZE bytes, then we
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// choose to ignore the computed value as it's not significant enough
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// FIXME: should depend on the frequency of the data (0.5s maybe)
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#define MIN_SAMPLE_SIZE 32000
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// mul is the value by which the samples are scaled
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// and has to be in [MUL_MIN, MUL_MAX]
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#define MUL_INIT 1.0
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#define MUL_MIN 0.1
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#define MUL_MAX 5.0
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// Silence level
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// FIXME: should be relative to the level of the samples
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#define SIL_S16 (SHRT_MAX * 0.01)
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#define SIL_FLOAT (INT_MAX * 0.01) // FIXME
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// smooth must be in ]0.0, 1.0[
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#define SMOOTH_MUL 0.06
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#define SMOOTH_LASTAVG 0.06
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2005-11-11 02:47:21 +00:00
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#define DEFAULT_TARGET 0.25
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2004-10-04 19:11:05 +00:00
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// Data for specific instances of this filter
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typedef struct af_volume_s
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{
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int method; // method used
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float mul;
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// method 1
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float lastavg; // history value of the filter
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// method 2
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int idx;
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struct {
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float avg; // average level of the sample
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int len; // sample size (weight)
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} mem[NSAMPLES];
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2005-11-11 02:47:21 +00:00
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// "Ideal" level
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float mid_s16;
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float mid_float;
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2004-10-04 19:11:05 +00:00
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}af_volnorm_t;
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// Initialization and runtime control
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static int control(struct af_instance_s* af, int cmd, void* arg)
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{
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2009-07-06 23:26:13 +00:00
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af_volnorm_t* s = (af_volnorm_t*)af->setup;
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2004-10-04 19:11:05 +00:00
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switch(cmd){
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case AF_CONTROL_REINIT:
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// Sanity check
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if(!arg) return AF_ERROR;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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af->data->rate = ((af_data_t*)arg)->rate;
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af->data->nch = ((af_data_t*)arg)->nch;
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2009-07-06 23:26:13 +00:00
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2004-12-27 17:30:15 +00:00
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if(((af_data_t*)arg)->format == (AF_FORMAT_S16_NE)){
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af->data->format = AF_FORMAT_S16_NE;
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2004-10-04 19:11:05 +00:00
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af->data->bps = 2;
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}else{
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2004-12-27 17:30:15 +00:00
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af->data->format = AF_FORMAT_FLOAT_NE;
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2004-10-04 19:11:05 +00:00
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af->data->bps = 4;
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}
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return af_test_output(af,(af_data_t*)arg);
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case AF_CONTROL_COMMAND_LINE:{
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2005-11-11 02:47:21 +00:00
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int i = 0;
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float target = DEFAULT_TARGET;
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sscanf((char*)arg,"%d:%f", &i, &target);
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2004-10-04 19:11:05 +00:00
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if (i != 1 && i != 2)
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return AF_ERROR;
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s->method = i-1;
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2005-11-11 02:47:21 +00:00
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s->mid_s16 = ((float)SHRT_MAX) * target;
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s->mid_float = ((float)INT_MAX) * target;
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2004-10-04 19:11:05 +00:00
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return AF_OK;
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}
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}
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return AF_UNKNOWN;
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}
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2009-07-06 23:26:13 +00:00
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// Deallocate memory
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2004-10-04 19:11:05 +00:00
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static void uninit(struct af_instance_s* af)
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{
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free(af->data);
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free(af->setup);
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}
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static void method1_int16(af_volnorm_t *s, af_data_t *c)
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{
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register int i = 0;
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int16_t *data = (int16_t*)c->audio; // Audio data
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int len = c->len/2; // Number of samples
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float curavg = 0.0, newavg, neededmul;
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int tmp;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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for (i = 0; i < len; i++)
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{
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tmp = data[i];
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curavg += tmp * tmp;
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}
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curavg = sqrt(curavg / (float) len);
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaluate an adequate 'mul' coefficient based on previous state, current
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// samples level, etc
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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if (curavg > SIL_S16)
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{
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2005-11-11 02:47:21 +00:00
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neededmul = s->mid_s16 / (curavg * s->mul);
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2004-10-04 19:11:05 +00:00
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s->mul = (1.0 - SMOOTH_MUL) * s->mul + SMOOTH_MUL * neededmul;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// clamp the mul coefficient
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s->mul = clamp(s->mul, MUL_MIN, MUL_MAX);
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Scale & clamp the samples
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for (i = 0; i < len; i++)
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{
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tmp = s->mul * data[i];
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tmp = clamp(tmp, SHRT_MIN, SHRT_MAX);
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data[i] = tmp;
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaulation of newavg (not 100% accurate because of values clamping)
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newavg = s->mul * curavg;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Stores computed values for future smoothing
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s->lastavg = (1.0 - SMOOTH_LASTAVG) * s->lastavg + SMOOTH_LASTAVG * newavg;
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}
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static void method1_float(af_volnorm_t *s, af_data_t *c)
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{
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register int i = 0;
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float *data = (float*)c->audio; // Audio data
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int len = c->len/4; // Number of samples
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float curavg = 0.0, newavg, neededmul, tmp;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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for (i = 0; i < len; i++)
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{
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tmp = data[i];
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curavg += tmp * tmp;
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}
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curavg = sqrt(curavg / (float) len);
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaluate an adequate 'mul' coefficient based on previous state, current
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// samples level, etc
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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if (curavg > SIL_FLOAT) // FIXME
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{
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2005-11-11 02:47:21 +00:00
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neededmul = s->mid_float / (curavg * s->mul);
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2004-10-04 19:11:05 +00:00
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s->mul = (1.0 - SMOOTH_MUL) * s->mul + SMOOTH_MUL * neededmul;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// clamp the mul coefficient
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s->mul = clamp(s->mul, MUL_MIN, MUL_MAX);
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Scale & clamp the samples
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for (i = 0; i < len; i++)
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data[i] *= s->mul;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaulation of newavg (not 100% accurate because of values clamping)
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newavg = s->mul * curavg;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Stores computed values for future smoothing
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s->lastavg = (1.0 - SMOOTH_LASTAVG) * s->lastavg + SMOOTH_LASTAVG * newavg;
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}
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static void method2_int16(af_volnorm_t *s, af_data_t *c)
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{
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register int i = 0;
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int16_t *data = (int16_t*)c->audio; // Audio data
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int len = c->len/2; // Number of samples
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float curavg = 0.0, newavg, avg = 0.0;
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int tmp, totallen = 0;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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for (i = 0; i < len; i++)
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{
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tmp = data[i];
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curavg += tmp * tmp;
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}
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curavg = sqrt(curavg / (float) len);
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaluate an adequate 'mul' coefficient based on previous state, current
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// samples level, etc
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for (i = 0; i < NSAMPLES; i++)
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{
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avg += s->mem[i].avg * (float)s->mem[i].len;
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totallen += s->mem[i].len;
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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if (totallen > MIN_SAMPLE_SIZE)
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{
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avg /= (float)totallen;
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if (avg >= SIL_S16)
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{
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2005-11-11 02:47:21 +00:00
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s->mul = s->mid_s16 / avg;
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2004-10-04 19:11:05 +00:00
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s->mul = clamp(s->mul, MUL_MIN, MUL_MAX);
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}
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Scale & clamp the samples
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for (i = 0; i < len; i++)
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{
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tmp = s->mul * data[i];
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tmp = clamp(tmp, SHRT_MIN, SHRT_MAX);
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data[i] = tmp;
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaulation of newavg (not 100% accurate because of values clamping)
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newavg = s->mul * curavg;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Stores computed values for future smoothing
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s->mem[s->idx].len = len;
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s->mem[s->idx].avg = newavg;
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s->idx = (s->idx + 1) % NSAMPLES;
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}
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static void method2_float(af_volnorm_t *s, af_data_t *c)
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{
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register int i = 0;
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float *data = (float*)c->audio; // Audio data
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int len = c->len/4; // Number of samples
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float curavg = 0.0, newavg, avg = 0.0, tmp;
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int totallen = 0;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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for (i = 0; i < len; i++)
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{
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tmp = data[i];
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curavg += tmp * tmp;
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}
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curavg = sqrt(curavg / (float) len);
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaluate an adequate 'mul' coefficient based on previous state, current
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// samples level, etc
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for (i = 0; i < NSAMPLES; i++)
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{
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avg += s->mem[i].avg * (float)s->mem[i].len;
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totallen += s->mem[i].len;
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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if (totallen > MIN_SAMPLE_SIZE)
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{
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avg /= (float)totallen;
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if (avg >= SIL_FLOAT)
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{
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2005-11-11 02:47:21 +00:00
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s->mul = s->mid_float / avg;
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2004-10-04 19:11:05 +00:00
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s->mul = clamp(s->mul, MUL_MIN, MUL_MAX);
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}
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}
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Scale & clamp the samples
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for (i = 0; i < len; i++)
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data[i] *= s->mul;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Evaulation of newavg (not 100% accurate because of values clamping)
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newavg = s->mul * curavg;
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2009-07-06 23:26:13 +00:00
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2004-10-04 19:11:05 +00:00
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// Stores computed values for future smoothing
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s->mem[s->idx].len = len;
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s->mem[s->idx].avg = newavg;
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s->idx = (s->idx + 1) % NSAMPLES;
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}
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// Filter data through filter
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static af_data_t* play(struct af_instance_s* af, af_data_t* data)
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{
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af_volnorm_t *s = af->setup;
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2004-12-27 17:30:15 +00:00
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if(af->data->format == (AF_FORMAT_S16_NE))
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2004-10-04 19:11:05 +00:00
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{
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if (s->method)
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method2_int16(s, data);
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else
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method1_int16(s, data);
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}
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2004-12-27 17:30:15 +00:00
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else if(af->data->format == (AF_FORMAT_FLOAT_NE))
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2009-07-06 23:26:13 +00:00
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{
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2004-10-04 19:11:05 +00:00
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if (s->method)
|
|
|
|
method2_float(s, data);
|
|
|
|
else
|
|
|
|
method1_float(s, data);
|
|
|
|
}
|
|
|
|
return data;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Allocate memory and set function pointers
|
2007-03-20 09:46:00 +00:00
|
|
|
static int af_open(af_instance_t* af){
|
2004-10-04 19:11:05 +00:00
|
|
|
int i = 0;
|
|
|
|
af->control=control;
|
|
|
|
af->uninit=uninit;
|
|
|
|
af->play=play;
|
2007-11-01 06:52:01 +00:00
|
|
|
af->mul=1;
|
2004-10-04 19:11:05 +00:00
|
|
|
af->data=calloc(1,sizeof(af_data_t));
|
|
|
|
af->setup=calloc(1,sizeof(af_volnorm_t));
|
|
|
|
if(af->data == NULL || af->setup == NULL)
|
|
|
|
return AF_ERROR;
|
|
|
|
|
|
|
|
((af_volnorm_t*)af->setup)->mul = MUL_INIT;
|
2005-11-11 02:47:21 +00:00
|
|
|
((af_volnorm_t*)af->setup)->lastavg = ((float)SHRT_MAX) * DEFAULT_TARGET;
|
2004-10-04 19:11:05 +00:00
|
|
|
((af_volnorm_t*)af->setup)->idx = 0;
|
2005-11-11 02:47:21 +00:00
|
|
|
((af_volnorm_t*)af->setup)->mid_s16 = ((float)SHRT_MAX) * DEFAULT_TARGET;
|
|
|
|
((af_volnorm_t*)af->setup)->mid_float = ((float)INT_MAX) * DEFAULT_TARGET;
|
2004-10-04 19:11:05 +00:00
|
|
|
for (i = 0; i < NSAMPLES; i++)
|
|
|
|
{
|
|
|
|
((af_volnorm_t*)af->setup)->mem[i].len = 0;
|
|
|
|
((af_volnorm_t*)af->setup)->mem[i].avg = 0;
|
|
|
|
}
|
|
|
|
return AF_OK;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Description of this filter
|
|
|
|
af_info_t af_info_volnorm = {
|
|
|
|
"Volume normalizer filter",
|
|
|
|
"volnorm",
|
|
|
|
"Alex Beregszaszi & Pierre Lombard",
|
|
|
|
"",
|
|
|
|
AF_FLAGS_NOT_REENTRANT,
|
2007-03-20 09:46:00 +00:00
|
|
|
af_open
|
2004-10-04 19:11:05 +00:00
|
|
|
};
|