GCC Code Coverage Report
Directory: ../../../ffmpeg/ Exec Total Coverage
File: src/libavfilter/af_replaygain.c Lines: 0 154 0.0 %
Date: 2020-09-25 14:59:26 Branches: 0 64 0.0 %

Line Branch Exec Source
1
/*
2
 * Copyright (c) 1998 - 2009 Conifer Software
3
 *
4
 * This file is part of FFmpeg.
5
 *
6
 * FFmpeg is free software; you can redistribute it and/or
7
 * modify it under the terms of the GNU Lesser General Public
8
 * License as published by the Free Software Foundation; either
9
 * version 2.1 of the License, or (at your option) any later version.
10
 *
11
 * FFmpeg is distributed in the hope that it will be useful,
12
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
13
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
14
 * Lesser General Public License for more details.
15
 *
16
 * You should have received a copy of the GNU Lesser General Public
17
 * License along with FFmpeg; if not, write to the Free Software
18
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
19
 */
20
21
/**
22
 * @file
23
 * ReplayGain scanner
24
 */
25
26
#include "libavutil/avassert.h"
27
#include "libavutil/channel_layout.h"
28
#include "audio.h"
29
#include "avfilter.h"
30
#include "internal.h"
31
32
#define HISTOGRAM_SLOTS 12000
33
#define BUTTER_ORDER        2
34
#define YULE_ORDER         10
35
36
typedef struct ReplayGainFreqInfo {
37
    int    sample_rate;
38
    double BYule[YULE_ORDER + 1];
39
    double AYule[YULE_ORDER + 1];
40
    double BButter[BUTTER_ORDER + 1];
41
    double AButter[BUTTER_ORDER + 1];
42
} ReplayGainFreqInfo;
43
44
static const ReplayGainFreqInfo freqinfos[] =
45
{
46
    {
47
        192000,
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        {  0.01184742123123, -0.04631092400086,  0.06584226961238,
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          -0.02165588522478, -0.05656260778952,  0.08607493592760,
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          -0.03375544339786, -0.04216579932754,  0.06416711490648,
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          -0.03444708260844,  0.00697275872241 },
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        {  1.00000000000000, -5.24727318348167, 10.60821585192244,
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          -8.74127665810413, -1.33906071371683,  8.07972882096606,
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          -5.46179918950847,  0.54318070652536,  0.87450969224280,
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          -0.34656083539754,  0.03034796843589 },
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        {  0.99653501465135, -1.99307002930271,  0.99653501465135 },
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        {  1.00000000000000, -1.99305802314321,  0.99308203546221 },
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    },
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    {
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        176400,
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        {  0.00268568524529, -0.00852379426080,  0.00852704191347,
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           0.00146116310295, -0.00950855828762,  0.00625449515499,
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           0.00116183868722, -0.00362461417136,  0.00203961000134,
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          -0.00050664587933,  0.00004327455427 },
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        {  1.00000000000000, -5.57512782763045, 12.44291056065794,
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         -12.87462799681221,  3.08554846961576,  6.62493459880692,
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          -7.07662766313248,  2.51175542736441,  0.06731510802735,
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          -0.24567753819213,  0.03961404162376 },
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        {  0.99622916581118, -1.99245833162236,  0.99622916581118 },
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        {  1.00000000000000, -1.99244411238133,  0.99247255086339 },
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    },
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    {
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        144000,
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        {  0.00639682359450, -0.02556437970955,  0.04230854400938,
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          -0.03722462201267,  0.01718514827295,  0.00610592243009,
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           0.01320937236809, -0.00220304127757 },
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        {  1.00000000000000, -6.14814623523425, 15.80002457141566,
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         -20.78487587686937, 11.98848552310315,  3.36462015062606,
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         -10.22419868359470,  6.65599702146473, -1.67141861110485,
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          -0.05417956536718,  0.07374767867406 },
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        {  0.99538268958706, -1.99076537917413,  0.99538268958706 },
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    },
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        {  1.00000000000000, -6.14581710839925, 16.04785903675838,
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           0.33106947986101,  0.00459820832036 },
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        {  0.99480702681278, -1.98961405362557,  0.99480702681278 },
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        {  1.00000000000000, -1.98958708647324,  0.98964102077790 },
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    },
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    {
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        {  0.00528778718259, -0.01893240907245,  0.03185982561867,
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          -0.02926260297838,  0.00715743034072,  0.01985743355827,
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          -0.03222614850941,  0.02565681978192, -0.01210662313473,
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           0.00325436284541, -0.00044173593001 },
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        {  1.00000000000000, -6.24932108456288, 17.42344320538476,
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           1.40829268709186, -0.19480852628112 },
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        {  0.99406737810867, -1.98813475621734,  0.99406737810867 },
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        {  1.00000000000000, -1.98809955990514,  0.98816995252954 },
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    },
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        96000,
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        {  0.00588138296683, -0.01613559730421,  0.02184798954216,
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           0.00352183686289, -0.00063124341421 },
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        {  1.00000000000000, -5.97808823642008, 16.21362507964068,
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         -25.72923730652599, 25.40470663139513,-14.66166287771134,
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           2.81597484359752,  2.51447125969733, -2.23575306985286,
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           0.75788151036791, -0.10078025199029 },
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        {  0.99308203517541, -1.98616407035082,  0.99308203517541 },
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        {  1.00000000000000, -1.98611621154089,  0.98621192916075 },
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    },
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    {
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        88200,
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        {  0.02667482047416, -0.11377479336097,  0.23063167910965,
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          -0.03840017967282,  0.00549673387936 },
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        {  1.00000000000000, -6.31836451657302, 18.31351310801799,
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         -31.88210014815921, 36.53792146976740,-28.23393036467559,
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          14.24725258227189, -4.04670980012854,  0.18865757280515,
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           0.25420333563908, -0.06012333531065 },
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        {  0.99247255046129, -1.98494510092259,  0.99247255046129 },
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        {  1.00000000000000, -1.98488843762335,  0.98500176422183 },
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    },
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    {
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        64000,
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        {  0.02613056568174, -0.08128786488109,  0.14937282347325,
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          -0.21695711675126,  0.25010286673402, -0.23162283619278,
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           0.17424041833052, -0.10299599216680,  0.04258696481981,
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          -0.00977952936493,  0.00105325558889 },
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        {  1.00000000000000, -5.73625477092119, 16.15249794355035,
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         -29.68654912464508, 39.55706155674083,-39.82524556246253,
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          30.50605345013009,-17.43051772821245,  7.05154573908017,
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          -1.80783839720514,  0.22127840210813 },
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        {  0.98964101933472, -1.97928203866944,  0.98964101933472 },
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        {  1.00000000000000, -1.97917472731009,  0.97938935002880 },
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    },
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    {
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        56000,
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        {  0.03144914734085, -0.06151729206963,  0.08066788708145,
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          -0.09737939921516,  0.08943210803999, -0.06989984672010,
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           0.04926972841044, -0.03161257848451,  0.01456837493506,
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          -0.00316015108496,  0.00132807215875 },
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        {  1.00000000000000, -4.87377313090032, 12.03922160140209,
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         -20.10151118381395, 25.10388534415171,-24.29065560815903,
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          18.27158469090663,-10.45249552560593,  4.30319491872003,
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          -1.13716992070185,  0.14510733527035 },
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        {  0.98816995007392, -1.97633990014784,  0.98816995007392 },
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        {  1.00000000000000, -1.97619994516973,  0.97647985512594 },
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    },
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    {
164
        48000,
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        {  0.03857599435200, -0.02160367184185, -0.00123395316851,
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          -0.00009291677959, -0.01655260341619,  0.02161526843274,
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          -0.02074045215285,  0.00594298065125,  0.00306428023191,
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           0.00012025322027,  0.00288463683916 },
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        {  1.00000000000000, -3.84664617118067,  7.81501653005538,
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         -11.34170355132042, 13.05504219327545,-12.28759895145294,
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           9.48293806319790, -5.87257861775999,  2.75465861874613,
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          -0.86984376593551,  0.13919314567432 },
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        44100,
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        {  0.05418656406430, -0.02911007808948, -0.00848709379851,
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          -0.02596338512915,  0.01624864962975, -0.00240879051584,
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           0.00674613682247, -0.00187763777362 },
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        {  1.00000000000000, -3.47845948550071,  6.36317777566148,
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          -8.54751527471874,  9.47693607801280, -8.81498681370155,
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           6.85401540936998, -4.39470996079559,  2.19611684890774,
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        {  1.00000000000000, -1.96977855582618,  0.97022847566350 },
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    },
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    {
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        37800,
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        {  0.08717879977844, -0.01000374016172, -0.06265852122368,
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        {  1.00000000000000, -2.62816311472146,  3.53734535817992,
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           2.71356866157873, -1.86723311846592,  1.12075382367659,
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          -0.48574086886890,  0.11330544663849 },
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        {  0.98252400815195, -1.96504801630391,  0.98252400815195 },
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        {  1.00000000000000, -1.96474258269041,  0.96535344991740 },
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    },
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    {
203
        32000,
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        {  0.15457299681924, -0.09331049056315, -0.06247880153653,
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           0.02163541888798, -0.05588393329856,  0.04781476674921,
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           0.00222312597743,  0.03174092540049, -0.01390589421898,
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           0.00651420667831, -0.00881362733839 },
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        {  1.00000000000000, -2.37898834973084,  2.84868151156327,
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          -2.64577170229825,  2.23697657451713, -1.67148153367602,
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          -0.05032077717131,  0.02347897407020 },
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    },
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          -0.00584456039913,  0.06276101321749, -0.00000828086748,
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        {  1.00000000000000, -1.61273165137247,  1.07977492259970,
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           0.02005851806501,  0.00302439095741 },
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        {  0.97531843204928, -1.95063686409857,  0.97531843204928 },
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        {  1.00000000000000, -1.95002759149878,  0.95124613669835 },
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    },
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    {
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        {  0.33642304856132, -0.25572241425570, -0.11828570177555,
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        {  1.00000000000000, -1.49858979367799,  0.87350271418188,
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        {  1.00000000000000, -1.94561023566527,  0.94705070426118 },
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    },
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        18900,
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        {  1.00000000000000, -1.29708918404534,  0.90399339674203,
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    },
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        16000,
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    },
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        {  0.56619470757641, -0.75464456939302,  0.16242137742230,
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    },
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    {
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        {  0.58100494960553, -0.53174909058578, -0.14289799034253,
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           0.17520704835522,  0.02377945217615,  0.15558449135573,
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          -0.03721611395801, -0.00749618797172 },
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        {  1.00000000000000, -0.51035327095184, -0.31863563325245,
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          -0.20256413484477,  0.14728154134330,  0.38952639978999,
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          -0.23313271880868, -0.05246019024463, -0.02505961724053,
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           0.02442357316099,  0.01818801111503 },
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        {  0.95856916599601, -1.91713833199203,  0.95856916599601 },
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        {  1.00000000000000, -1.91542108074780,  0.91885558323625 },
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    },
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    {
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        8000,
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        {  0.53648789255105, -0.42163034350696, -0.00275953611929,
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           0.04267842219415, -0.10214864179676,  0.14590772289388,
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          -0.02459864859345, -0.11202315195388, -0.04060034127000,
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           0.04788665548180, -0.02217936801134 },
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        {  1.00000000000000, -0.25049871956020, -0.43193942311114,
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          -0.03424681017675, -0.04678328784242,  0.26408300200955,
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           0.15113130533216, -0.17556493366449, -0.18823009262115,
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           0.05477720428674,  0.04704409688120 },
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        {  0.94597685600279, -1.89195371200558,  0.94597685600279 },
304
        {  1.00000000000000, -1.88903307939452,  0.89487434461664 },
305
    },
306
};
307
308
typedef struct ReplayGainContext {
309
    uint32_t histogram[HISTOGRAM_SLOTS];
310
    float peak;
311
    int yule_hist_i, butter_hist_i;
312
    const double *yule_coeff_a;
313
    const double *yule_coeff_b;
314
    const double *butter_coeff_a;
315
    const double *butter_coeff_b;
316
    float yule_hist_a[256];
317
    float yule_hist_b[256];
318
    float butter_hist_a[256];
319
    float butter_hist_b[256];
320
} ReplayGainContext;
321
322
static int query_formats(AVFilterContext *ctx)
323
{
324
    AVFilterFormats *formats = NULL;
325
    AVFilterChannelLayouts *layout = NULL;
326
    int i, ret;
327
328
    if ((ret = ff_add_format                 (&formats, AV_SAMPLE_FMT_FLT  )) < 0 ||
329
        (ret = ff_set_common_formats         (ctx     , formats            )) < 0 ||
330
        (ret = ff_add_channel_layout         (&layout , AV_CH_LAYOUT_STEREO)) < 0 ||
331
        (ret = ff_set_common_channel_layouts (ctx     , layout             )) < 0)
332
        return ret;
333
334
    formats = NULL;
335
    for (i = 0; i < FF_ARRAY_ELEMS(freqinfos); i++) {
336
        if ((ret = ff_add_format(&formats, freqinfos[i].sample_rate)) < 0)
337
            return ret;
338
    }
339
340
    return ff_set_common_samplerates(ctx, formats);
341
}
342
343
static int config_input(AVFilterLink *inlink)
344
{
345
    AVFilterContext *ctx = inlink->dst;
346
    ReplayGainContext *s = ctx->priv;
347
    int i;
348
349
    for (i = 0; i < FF_ARRAY_ELEMS(freqinfos); i++) {
350
        if (freqinfos[i].sample_rate == inlink->sample_rate)
351
            break;
352
    }
353
    av_assert0(i < FF_ARRAY_ELEMS(freqinfos));
354
355
    s->yule_coeff_a   = freqinfos[i].AYule;
356
    s->yule_coeff_b   = freqinfos[i].BYule;
357
    s->butter_coeff_a = freqinfos[i].AButter;
358
    s->butter_coeff_b = freqinfos[i].BButter;
359
360
    s->yule_hist_i   = 20;
361
    s->butter_hist_i = 4;
362
    inlink->partial_buf_size =
363
    inlink->min_samples =
364
    inlink->max_samples = inlink->sample_rate / 20;
365
366
    return 0;
367
}
368
369
/*
370
 * Update largest absolute sample value.
371
 */
372
static void calc_stereo_peak(const float *samples, int nb_samples,
373
                             float *peak_p)
374
{
375
    float peak = 0.0;
376
377
    while (nb_samples--) {
378
        if (samples[0] > peak)
379
            peak = samples[0];
380
        else if (-samples[0] > peak)
381
            peak = -samples[0];
382
383
        if (samples[1] > peak)
384
            peak = samples[1];
385
        else if (-samples[1] > peak)
386
            peak = -samples[1];
387
388
        samples += 2;
389
    }
390
391
    *peak_p = FFMAX(peak, *peak_p);
392
}
393
394
/*
395
 * Calculate stereo RMS level. Minimum value is about -100 dB for
396
 * digital silence. The 90 dB offset is to compensate for the
397
 * normalized float range and 3 dB is for stereo samples.
398
 */
399
static double calc_stereo_rms(const float *samples, int nb_samples)
400
{
401
    int count = nb_samples;
402
    double sum = 1e-16;
403
404
    while (count--) {
405
        sum += samples[0] * samples[0] + samples[1] * samples[1];
406
        samples += 2;
407
    }
408
409
    return 10 * log10 (sum / nb_samples) + 90.0 - 3.0;
410
}
411
412
/*
413
 * Optimized implementation of 2nd-order IIR stereo filter.
414
 */
415
static void butter_filter_stereo_samples(ReplayGainContext *s,
416
                                         float *samples, int nb_samples)
417
{
418
    const double *coeff_a = s->butter_coeff_a;
419
    const double *coeff_b = s->butter_coeff_b;
420
    float *hist_a   = s->butter_hist_a;
421
    float *hist_b   = s->butter_hist_b;
422
    double left, right;
423
    int i, j;
424
425
    i = s->butter_hist_i;
426
427
    // If filter history is very small magnitude, clear it completely
428
    // to prevent denormals from rattling around in there forever
429
    // (slowing us down).
430
431
    for (j = -4; j < 0; ++j)
432
        if (fabs(hist_a[i + j]) > 1e-10 || fabs(hist_b[i + j]) > 1e-10)
433
            break;
434
435
    if (!j) {
436
        memset(s->butter_hist_a, 0, sizeof(s->butter_hist_a));
437
        memset(s->butter_hist_b, 0, sizeof(s->butter_hist_b));
438
    }
439
440
    while (nb_samples--) {
441
        left   = (hist_b[i    ] = samples[0]) * coeff_b[0];
442
        right  = (hist_b[i + 1] = samples[1]) * coeff_b[0];
443
        left  += hist_b[i - 2] * coeff_b[1] - hist_a[i - 2] * coeff_a[1];
444
        right += hist_b[i - 1] * coeff_b[1] - hist_a[i - 1] * coeff_a[1];
445
        left  += hist_b[i - 4] * coeff_b[2] - hist_a[i - 4] * coeff_a[2];
446
        right += hist_b[i - 3] * coeff_b[2] - hist_a[i - 3] * coeff_a[2];
447
        samples[0] = hist_a[i    ] = (float) left;
448
        samples[1] = hist_a[i + 1] = (float) right;
449
        samples += 2;
450
451
        if ((i += 2) == 256) {
452
            memcpy(hist_a, hist_a + 252, sizeof(*hist_a) * 4);
453
            memcpy(hist_b, hist_b + 252, sizeof(*hist_b) * 4);
454
            i = 4;
455
        }
456
    }
457
458
    s->butter_hist_i = i;
459
}
460
461
/*
462
 * Optimized implementation of 10th-order IIR stereo filter.
463
 */
464
static void yule_filter_stereo_samples(ReplayGainContext *s, const float *src,
465
                                       float *dst, int nb_samples)
466
{
467
    const double *coeff_a = s->yule_coeff_a;
468
    const double *coeff_b = s->yule_coeff_b;
469
    float *hist_a   = s->yule_hist_a;
470
    float *hist_b   = s->yule_hist_b;
471
    double left, right;
472
    int i, j;
473
474
    i = s->yule_hist_i;
475
476
    // If filter history is very small magnitude, clear it completely to
477
    // prevent denormals from rattling around in there forever
478
    // (slowing us down).
479
480
    for (j = -20; j < 0; ++j)
481
        if (fabs(hist_a[i + j]) > 1e-10 || fabs(hist_b[i + j]) > 1e-10)
482
            break;
483
484
    if (!j) {
485
        memset(s->yule_hist_a, 0, sizeof(s->yule_hist_a));
486
        memset(s->yule_hist_b, 0, sizeof(s->yule_hist_b));
487
    }
488
489
    while (nb_samples--) {
490
        left   = (hist_b[i] = src[0]) * coeff_b[0];
491
        right  = (hist_b[i + 1] = src[1]) * coeff_b[0];
492
        left  += hist_b[i -  2] * coeff_b[ 1] - hist_a[i -  2] * coeff_a[1 ];
493
        right += hist_b[i -  1] * coeff_b[ 1] - hist_a[i -  1] * coeff_a[1 ];
494
        left  += hist_b[i -  4] * coeff_b[ 2] - hist_a[i -  4] * coeff_a[2 ];
495
        right += hist_b[i -  3] * coeff_b[ 2] - hist_a[i -  3] * coeff_a[2 ];
496
        left  += hist_b[i -  6] * coeff_b[ 3] - hist_a[i -  6] * coeff_a[3 ];
497
        right += hist_b[i -  5] * coeff_b[ 3] - hist_a[i -  5] * coeff_a[3 ];
498
        left  += hist_b[i -  8] * coeff_b[ 4] - hist_a[i -  8] * coeff_a[4 ];
499
        right += hist_b[i -  7] * coeff_b[ 4] - hist_a[i -  7] * coeff_a[4 ];
500
        left  += hist_b[i - 10] * coeff_b[ 5] - hist_a[i - 10] * coeff_a[5 ];
501
        right += hist_b[i -  9] * coeff_b[ 5] - hist_a[i -  9] * coeff_a[5 ];
502
        left  += hist_b[i - 12] * coeff_b[ 6] - hist_a[i - 12] * coeff_a[6 ];
503
        right += hist_b[i - 11] * coeff_b[ 6] - hist_a[i - 11] * coeff_a[6 ];
504
        left  += hist_b[i - 14] * coeff_b[ 7] - hist_a[i - 14] * coeff_a[7 ];
505
        right += hist_b[i - 13] * coeff_b[ 7] - hist_a[i - 13] * coeff_a[7 ];
506
        left  += hist_b[i - 16] * coeff_b[ 8] - hist_a[i - 16] * coeff_a[8 ];
507
        right += hist_b[i - 15] * coeff_b[ 8] - hist_a[i - 15] * coeff_a[8 ];
508
        left  += hist_b[i - 18] * coeff_b[ 9] - hist_a[i - 18] * coeff_a[9 ];
509
        right += hist_b[i - 17] * coeff_b[ 9] - hist_a[i - 17] * coeff_a[9 ];
510
        left  += hist_b[i - 20] * coeff_b[10] - hist_a[i - 20] * coeff_a[10];
511
        right += hist_b[i - 19] * coeff_b[10] - hist_a[i - 19] * coeff_a[10];
512
        dst[0] = hist_a[i    ] = (float)left;
513
        dst[1] = hist_a[i + 1] = (float)right;
514
        src += 2;
515
        dst += 2;
516
517
        if ((i += 2) == 256) {
518
            memcpy(hist_a, hist_a + 236, sizeof(*hist_a) * 20);
519
            memcpy(hist_b, hist_b + 236, sizeof(*hist_b) * 20);
520
            i = 20;
521
        }
522
    }
523
524
    s->yule_hist_i = i;
525
}
526
527
/*
528
 * Calculate the ReplayGain value from the specified loudness histogram;
529
 * clip to -24 / +64 dB.
530
 */
531
static float calc_replaygain(uint32_t *histogram)
532
{
533
    uint32_t loud_count = 0, total_windows = 0;
534
    float gain;
535
    int i;
536
537
    for (i = 0; i < HISTOGRAM_SLOTS; i++)
538
        total_windows += histogram [i];
539
540
    while (i--)
541
        if ((loud_count += histogram [i]) * 20 >= total_windows)
542
            break;
543
544
    gain = (float)(64.54 - i / 100.0);
545
546
    return av_clipf(gain, -24.0, 64.0);
547
}
548
549
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
550
{
551
    AVFilterContext *ctx = inlink->dst;
552
    AVFilterLink *outlink = ctx->outputs[0];
553
    ReplayGainContext *s = ctx->priv;
554
    int64_t level;
555
    AVFrame *out;
556
557
    out = ff_get_audio_buffer(outlink, in->nb_samples);
558
    if (!out) {
559
        av_frame_free(&in);
560
        return AVERROR(ENOMEM);
561
    }
562
563
    calc_stereo_peak((float *)in->data[0],
564
                              in->nb_samples, &s->peak);
565
    yule_filter_stereo_samples(s, (const float *)in->data[0],
566
                                        (float *)out->data[0],
567
                                                 out->nb_samples);
568
    butter_filter_stereo_samples(s, (float *)out->data[0],
569
                                             out->nb_samples);
570
    level = lrint(floor(100 * calc_stereo_rms((float *)out->data[0],
571
                                                           out->nb_samples)));
572
    level = av_clip64(level, 0, HISTOGRAM_SLOTS - 1);
573
574
    s->histogram[level]++;
575
576
    av_frame_free(&out);
577
    return ff_filter_frame(outlink, in);
578
}
579
580
static av_cold void uninit(AVFilterContext *ctx)
581
{
582
    ReplayGainContext *s = ctx->priv;
583
    float gain = calc_replaygain(s->histogram);
584
585
    av_log(ctx, AV_LOG_INFO, "track_gain = %+.2f dB\n", gain);
586
    av_log(ctx, AV_LOG_INFO, "track_peak = %.6f\n", s->peak);
587
}
588
589
static const AVFilterPad replaygain_inputs[] = {
590
    {
591
        .name         = "default",
592
        .type         = AVMEDIA_TYPE_AUDIO,
593
        .filter_frame = filter_frame,
594
        .config_props = config_input,
595
    },
596
    { NULL }
597
};
598
599
static const AVFilterPad replaygain_outputs[] = {
600
    {
601
        .name = "default",
602
        .type = AVMEDIA_TYPE_AUDIO,
603
    },
604
    { NULL }
605
};
606
607
AVFilter ff_af_replaygain = {
608
    .name          = "replaygain",
609
    .description   = NULL_IF_CONFIG_SMALL("ReplayGain scanner."),
610
    .query_formats = query_formats,
611
    .uninit        = uninit,
612
    .priv_size     = sizeof(ReplayGainContext),
613
    .inputs        = replaygain_inputs,
614
    .outputs       = replaygain_outputs,
615
};