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476 lines
20 KiB
C
Vendored
476 lines
20 KiB
C
Vendored
/*
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* ReplayGainAnalysis - analyzes input samples and give the recommended dB change
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* Copyright (C) 2001 David Robinson and Glen Sawyer
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* Improvements and optimizations added by Frank Klemm, and by Marcel Muller
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* This library 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 GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*
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* concept and filter values by David Robinson (David@Robinson.org)
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* -- blame him if you think the idea is flawed
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* original coding by Glen Sawyer (mp3gain@hotmail.com)
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* -- blame him if you think this runs too slowly, or the coding is otherwise flawed
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*
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* lots of code improvements by Frank Klemm ( http://www.uni-jena.de/~pfk/mpp/ )
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* -- credit him for all the _good_ programming ;)
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*
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*
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* For an explanation of the concepts and the basic algorithms involved, go to:
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* http://www.replaygain.org/
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*/
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/*
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* Here's the deal. Call
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*
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* InitGainAnalysis ( long samplefreq );
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*
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* to initialize everything. Call
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*
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* AnalyzeSamples ( const Float_t* left_samples,
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* const Float_t* right_samples,
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* size_t num_samples,
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* int num_channels );
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*
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* as many times as you want, with as many or as few samples as you want.
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* If mono, pass the sample buffer in through left_samples, leave
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* right_samples NULL, and make sure num_channels = 1.
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*
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* GetTitleGain()
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*
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* will return the recommended dB level change for all samples analyzed
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* SINCE THE LAST TIME you called GetTitleGain() OR InitGainAnalysis().
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*
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* GetAlbumGain()
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*
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* will return the recommended dB level change for all samples analyzed
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* since InitGainAnalysis() was called and finalized with GetTitleGain().
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*
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* Pseudo-code to process an album:
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*
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* Float_t l_samples [4096];
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* Float_t r_samples [4096];
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* size_t num_samples;
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* unsigned int num_songs;
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* unsigned int i;
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*
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* InitGainAnalysis ( 44100 );
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* for ( i = 1; i <= num_songs; i++ ) {
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* while ( ( num_samples = getSongSamples ( song[i], left_samples, right_samples ) ) > 0 )
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* AnalyzeSamples ( left_samples, right_samples, num_samples, 2 );
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* fprintf ("Recommended dB change for song %2d: %+6.2f dB\n", i, GetTitleGain() );
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* }
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* fprintf ("Recommended dB change for whole album: %+6.2f dB\n", GetAlbumGain() );
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*/
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/*
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* So here's the main source of potential code confusion:
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*
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* The filters applied to the incoming samples are IIR filters,
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* meaning they rely on up to <filter order> number of previous samples
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* AND up to <filter order> number of previous filtered samples.
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*
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* I set up the AnalyzeSamples routine to minimize memory usage and interface
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* complexity. The speed isn't compromised too much (I don't think), but the
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* internal complexity is higher than it should be for such a relatively
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* simple routine.
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*
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* Optimization/clarity suggestions are welcome.
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*/
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#ifdef HAVE_CONFIG_H
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#include <config.h>
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#endif
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include "lame.h"
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#include "machine.h"
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#include "gain_analysis.h"
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/* for each filter: */
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/* [0] 48 kHz, [1] 44.1 kHz, [2] 32 kHz, [3] 24 kHz, [4] 22050 Hz, [5] 16 kHz, [6] 12 kHz, [7] is 11025 Hz, [8] 8 kHz */
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#ifdef WIN32
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#pragma warning ( disable : 4305 )
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#endif
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/*lint -save -e736 loss of precision */
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static const Float_t ABYule[9][multiple_of(4, 2 * YULE_ORDER + 1)] = {
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/* 20 18 16 14 12 10 8 6 4 2 0 19 17 15 13 11 9 7 5 3 1 */
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{ 0.00288463683916, 0.00012025322027, 0.00306428023191, 0.00594298065125, -0.02074045215285, 0.02161526843274, -0.01655260341619, -0.00009291677959, -0.00123395316851, -0.02160367184185, 0.03857599435200, 0.13919314567432, -0.86984376593551, 2.75465861874613, -5.87257861775999, 9.48293806319790,-12.28759895145294, 13.05504219327545,-11.34170355132042, 7.81501653005538, -3.84664617118067},
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{-0.00187763777362, 0.00674613682247, -0.00240879051584, 0.01624864962975, -0.02596338512915, 0.02245293253339, -0.00834990904936, -0.00851165645469, -0.00848709379851, -0.02911007808948, 0.05418656406430, 0.13149317958808, -0.75104302451432, 2.19611684890774, -4.39470996079559, 6.85401540936998, -8.81498681370155, 9.47693607801280, -8.54751527471874, 6.36317777566148, -3.47845948550071},
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{-0.00881362733839, 0.00651420667831, -0.01390589421898, 0.03174092540049, 0.00222312597743, 0.04781476674921, -0.05588393329856, 0.02163541888798, -0.06247880153653, -0.09331049056315, 0.15457299681924, 0.02347897407020, -0.05032077717131, 0.16378164858596, -0.45953458054983, 1.00595954808547, -1.67148153367602, 2.23697657451713, -2.64577170229825, 2.84868151156327, -2.37898834973084},
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{-0.02950134983287, 0.00205861885564, -0.00000828086748, 0.06276101321749, -0.00584456039913, -0.02364141202522, -0.00915702933434, 0.03282930172664, -0.08587323730772, -0.22613988682123, 0.30296907319327, 0.00302439095741, 0.02005851806501, 0.04500235387352, -0.22138138954925, 0.39120800788284, -0.22638893773906, -0.16276719120440, -0.25656257754070, 1.07977492259970, -1.61273165137247},
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{-0.01760176568150, -0.01635381384540, 0.00832043980773, 0.05724228140351, -0.00589500224440, -0.00469977914380, -0.07834489609479, 0.11921148675203, -0.11828570177555, -0.25572241425570, 0.33642304856132, 0.02977207319925, -0.04237348025746, 0.08333755284107, -0.04067510197014, -0.12453458140019, 0.47854794562326, -0.80774944671438, 0.12205022308084, 0.87350271418188, -1.49858979367799},
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{ 0.00541907748707, -0.03193428438915, -0.01863887810927, 0.10478503600251, 0.04097565135648, -0.12398163381748, 0.04078262797139, -0.01419140100551, -0.22784394429749, -0.14351757464547, 0.44915256608450, 0.03222754072173, 0.05784820375801, 0.06747620744683, 0.00613424350682, 0.22199650564824, -0.42029820170918, 0.00213767857124, -0.37256372942400, 0.29661783706366, -0.62820619233671},
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{-0.00588215443421, -0.03788984554840, 0.08647503780351, 0.00647310677246, -0.27562961986224, 0.30931782841830, -0.18901604199609, 0.16744243493672, 0.16242137742230, -0.75464456939302, 0.56619470757641, 0.01807364323573, 0.01639907836189, -0.04784254229033, 0.06739368333110, -0.33032403314006, 0.45054734505008, 0.00819999645858, -0.26806001042947, 0.29156311971249, -1.04800335126349},
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{-0.00749618797172, -0.03721611395801, 0.06920467763959, 0.01628462406333, -0.25344790059353, 0.15558449135573, 0.02377945217615, 0.17520704835522, -0.14289799034253, -0.53174909058578, 0.58100494960553, 0.01818801111503, 0.02442357316099, -0.02505961724053, -0.05246019024463, -0.23313271880868, 0.38952639978999, 0.14728154134330, -0.20256413484477, -0.31863563325245, -0.51035327095184},
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{-0.02217936801134, 0.04788665548180, -0.04060034127000, -0.11202315195388, -0.02459864859345, 0.14590772289388, -0.10214864179676, 0.04267842219415, -0.00275953611929, -0.42163034350696, 0.53648789255105, 0.04704409688120, 0.05477720428674, -0.18823009262115, -0.17556493366449, 0.15113130533216, 0.26408300200955, -0.04678328784242, -0.03424681017675, -0.43193942311114, -0.25049871956020}
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};
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static const Float_t ABButter[9][multiple_of(4, 2 * BUTTER_ORDER + 1)] = {
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/* 5 4 3 2 1 */
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{0.98621192462708, 0.97261396931306, -1.97242384925416, -1.97223372919527, 0.98621192462708},
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{0.98500175787242, 0.97022847566350, -1.97000351574484, -1.96977855582618, 0.98500175787242},
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{0.97938932735214, 0.95920349965459, -1.95877865470428, -1.95835380975398, 0.97938932735214},
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{0.97531843204928, 0.95124613669835, -1.95063686409857, -1.95002759149878, 0.97531843204928},
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{0.97316523498161, 0.94705070426118, -1.94633046996323, -1.94561023566527, 0.97316523498161},
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{0.96454515552826, 0.93034775234268, -1.92909031105652, -1.92783286977036, 0.96454515552826},
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{0.96009142950541, 0.92177618768381, -1.92018285901082, -1.91858953033784, 0.96009142950541},
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{0.95856916599601, 0.91885558323625, -1.91713833199203, -1.91542108074780, 0.95856916599601},
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{0.94597685600279, 0.89487434461664, -1.89195371200558, -1.88903307939452, 0.94597685600279}
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};
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/*lint -restore */
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#ifdef WIN32
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#pragma warning ( default : 4305 )
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#endif
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/* When calling this procedure, make sure that ip[-order] and op[-order] point to real data! */
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static void
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filterYule(const Float_t * input, Float_t * output, size_t nSamples, const Float_t * const kernel)
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{
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while (nSamples--) {
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Float_t y0 = input[-10] * kernel[ 0];
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Float_t y2 = input[ -9] * kernel[ 1];
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Float_t y4 = input[ -8] * kernel[ 2];
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Float_t y6 = input[ -7] * kernel[ 3];
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Float_t s00 = y0 + y2 + y4 + y6;
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Float_t y8 = input[ -6] * kernel[ 4];
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Float_t yA = input[ -5] * kernel[ 5];
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Float_t yC = input[ -4] * kernel[ 6];
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Float_t yE = input[ -3] * kernel[ 7];
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Float_t s01 = y8 + yA + yC + yE;
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Float_t yG = input[ -2] * kernel[ 8] + input[ -1] * kernel[ 9];
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Float_t yK = input[ 0] * kernel[10];
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Float_t s1 = s00 + s01 + yG + yK;
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Float_t x1 = output[-10] * kernel[11] + output[ -9] * kernel[12];
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Float_t x5 = output[ -8] * kernel[13] + output[ -7] * kernel[14];
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Float_t x9 = output[ -6] * kernel[15] + output[ -5] * kernel[16];
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Float_t xD = output[ -4] * kernel[17] + output[ -3] * kernel[18];
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Float_t xH = output[ -2] * kernel[19] + output[ -1] * kernel[20];
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Float_t s2 = x1 + x5 + x9 + xD + xH;
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output[0] = (Float_t)(s1 - s2);
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++output;
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++input;
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}
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}
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static void
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filterButter(const Float_t * input, Float_t * output, size_t nSamples, const Float_t * const kernel)
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{
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while (nSamples--) {
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Float_t s1 = input[-2] * kernel[0] + input[-1] * kernel[2] + input[ 0] * kernel[4];
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Float_t s2 = output[-2] * kernel[1] + output[-1] * kernel[3];
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output[0] = (Float_t)(s1 - s2);
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++output;
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++input;
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}
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}
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static int ResetSampleFrequency(replaygain_t * rgData, long samplefreq);
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/* returns a INIT_GAIN_ANALYSIS_OK if successful, INIT_GAIN_ANALYSIS_ERROR if not */
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int
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ResetSampleFrequency(replaygain_t * rgData, long samplefreq)
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{
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/* zero out initial values, only first MAX_ORDER values */
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memset(rgData->linprebuf, 0, MAX_ORDER * sizeof(*rgData->linprebuf));
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memset(rgData->rinprebuf, 0, MAX_ORDER * sizeof(*rgData->rinprebuf));
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memset(rgData->lstepbuf, 0, MAX_ORDER * sizeof(*rgData->lstepbuf));
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memset(rgData->rstepbuf, 0, MAX_ORDER * sizeof(*rgData->rstepbuf));
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memset(rgData->loutbuf, 0, MAX_ORDER * sizeof(*rgData->loutbuf));
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memset(rgData->routbuf, 0, MAX_ORDER * sizeof(*rgData->routbuf));
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switch ((int) (samplefreq)) {
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case 48000:
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rgData->freqindex = 0;
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break;
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case 44100:
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rgData->freqindex = 1;
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break;
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case 32000:
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rgData->freqindex = 2;
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break;
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case 24000:
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rgData->freqindex = 3;
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break;
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case 22050:
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rgData->freqindex = 4;
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break;
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case 16000:
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rgData->freqindex = 5;
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break;
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case 12000:
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rgData->freqindex = 6;
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break;
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case 11025:
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rgData->freqindex = 7;
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break;
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case 8000:
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rgData->freqindex = 8;
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break;
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default:
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return INIT_GAIN_ANALYSIS_ERROR;
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}
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rgData->sampleWindow =
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(samplefreq * RMS_WINDOW_TIME_NUMERATOR + RMS_WINDOW_TIME_DENOMINATOR -
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1) / RMS_WINDOW_TIME_DENOMINATOR;
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rgData->lsum = 0.;
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rgData->rsum = 0.;
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rgData->totsamp = 0;
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memset(rgData->A, 0, sizeof(rgData->A));
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return INIT_GAIN_ANALYSIS_OK;
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}
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int
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InitGainAnalysis(replaygain_t * rgData, long samplefreq)
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{
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if (ResetSampleFrequency(rgData, samplefreq) != INIT_GAIN_ANALYSIS_OK) {
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return INIT_GAIN_ANALYSIS_ERROR;
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}
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rgData->linpre = rgData->linprebuf + MAX_ORDER;
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rgData->rinpre = rgData->rinprebuf + MAX_ORDER;
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rgData->lstep = rgData->lstepbuf + MAX_ORDER;
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rgData->rstep = rgData->rstepbuf + MAX_ORDER;
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rgData->lout = rgData->loutbuf + MAX_ORDER;
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rgData->rout = rgData->routbuf + MAX_ORDER;
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memset(rgData->B, 0, sizeof(rgData->B));
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return INIT_GAIN_ANALYSIS_OK;
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}
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/* returns GAIN_ANALYSIS_OK if successful, GAIN_ANALYSIS_ERROR if not */
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int
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AnalyzeSamples(replaygain_t * rgData, const Float_t * left_samples, const Float_t * right_samples,
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size_t num_samples, int num_channels)
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{
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const Float_t *curleft;
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const Float_t *curright;
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long batchsamples;
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long cursamples;
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long cursamplepos;
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int i;
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Float_t sum_l, sum_r;
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if (num_samples == 0)
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return GAIN_ANALYSIS_OK;
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cursamplepos = 0;
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batchsamples = (long) num_samples;
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switch (num_channels) {
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case 1:
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right_samples = left_samples;
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break;
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case 2:
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break;
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default:
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return GAIN_ANALYSIS_ERROR;
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}
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if (num_samples < MAX_ORDER) {
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memcpy(rgData->linprebuf + MAX_ORDER, left_samples, num_samples * sizeof(Float_t));
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memcpy(rgData->rinprebuf + MAX_ORDER, right_samples, num_samples * sizeof(Float_t));
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}
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else {
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memcpy(rgData->linprebuf + MAX_ORDER, left_samples, MAX_ORDER * sizeof(Float_t));
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memcpy(rgData->rinprebuf + MAX_ORDER, right_samples, MAX_ORDER * sizeof(Float_t));
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}
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while (batchsamples > 0) {
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cursamples = batchsamples > rgData->sampleWindow - rgData->totsamp ?
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rgData->sampleWindow - rgData->totsamp : batchsamples;
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if (cursamplepos < MAX_ORDER) {
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curleft = rgData->linpre + cursamplepos;
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curright = rgData->rinpre + cursamplepos;
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if (cursamples > MAX_ORDER - cursamplepos)
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cursamples = MAX_ORDER - cursamplepos;
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}
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else {
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curleft = left_samples + cursamplepos;
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curright = right_samples + cursamplepos;
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}
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YULE_FILTER(curleft, rgData->lstep + rgData->totsamp, cursamples,
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ABYule[rgData->freqindex]);
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YULE_FILTER(curright, rgData->rstep + rgData->totsamp, cursamples,
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ABYule[rgData->freqindex]);
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BUTTER_FILTER(rgData->lstep + rgData->totsamp, rgData->lout + rgData->totsamp, cursamples,
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ABButter[rgData->freqindex]);
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BUTTER_FILTER(rgData->rstep + rgData->totsamp, rgData->rout + rgData->totsamp, cursamples,
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ABButter[rgData->freqindex]);
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curleft = rgData->lout + rgData->totsamp; /* Get the squared values */
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curright = rgData->rout + rgData->totsamp;
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sum_l = 0;
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sum_r = 0;
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i = cursamples & 0x03;
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while (i--) {
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Float_t const l = *curleft++;
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Float_t const r = *curright++;
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sum_l += l * l;
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sum_r += r * r;
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}
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i = cursamples / 4;
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while (i--) {
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Float_t l0 = curleft[0] * curleft[0];
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Float_t l1 = curleft[1] * curleft[1];
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Float_t l2 = curleft[2] * curleft[2];
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Float_t l3 = curleft[3] * curleft[3];
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Float_t sl = l0 + l1 + l2 + l3;
|
|
Float_t r0 = curright[0] * curright[0];
|
|
Float_t r1 = curright[1] * curright[1];
|
|
Float_t r2 = curright[2] * curright[2];
|
|
Float_t r3 = curright[3] * curright[3];
|
|
Float_t sr = r0 + r1 + r2 + r3;
|
|
sum_l += sl;
|
|
curleft += 4;
|
|
sum_r += sr;
|
|
curright += 4;
|
|
}
|
|
rgData->lsum += sum_l;
|
|
rgData->rsum += sum_r;
|
|
|
|
batchsamples -= cursamples;
|
|
cursamplepos += cursamples;
|
|
rgData->totsamp += cursamples;
|
|
if (rgData->totsamp == rgData->sampleWindow) { /* Get the Root Mean Square (RMS) for this set of samples */
|
|
double const val =
|
|
STEPS_per_dB * 10. * log10((rgData->lsum + rgData->rsum) / rgData->totsamp * 0.5 +
|
|
1.e-37);
|
|
size_t ival = (val <= 0) ? 0 : (size_t) val;
|
|
if (ival >= sizeof(rgData->A) / sizeof(*(rgData->A)))
|
|
ival = sizeof(rgData->A) / sizeof(*(rgData->A)) - 1;
|
|
rgData->A[ival]++;
|
|
rgData->lsum = rgData->rsum = 0.;
|
|
memmove(rgData->loutbuf, rgData->loutbuf + rgData->totsamp,
|
|
MAX_ORDER * sizeof(Float_t));
|
|
memmove(rgData->routbuf, rgData->routbuf + rgData->totsamp,
|
|
MAX_ORDER * sizeof(Float_t));
|
|
memmove(rgData->lstepbuf, rgData->lstepbuf + rgData->totsamp,
|
|
MAX_ORDER * sizeof(Float_t));
|
|
memmove(rgData->rstepbuf, rgData->rstepbuf + rgData->totsamp,
|
|
MAX_ORDER * sizeof(Float_t));
|
|
rgData->totsamp = 0;
|
|
}
|
|
if (rgData->totsamp > rgData->sampleWindow) /* somehow I really screwed up: Error in programming! Contact author about totsamp > sampleWindow */
|
|
return GAIN_ANALYSIS_ERROR;
|
|
}
|
|
if (num_samples < MAX_ORDER) {
|
|
memmove(rgData->linprebuf, rgData->linprebuf + num_samples,
|
|
(MAX_ORDER - num_samples) * sizeof(Float_t));
|
|
memmove(rgData->rinprebuf, rgData->rinprebuf + num_samples,
|
|
(MAX_ORDER - num_samples) * sizeof(Float_t));
|
|
memcpy(rgData->linprebuf + MAX_ORDER - num_samples, left_samples,
|
|
num_samples * sizeof(Float_t));
|
|
memcpy(rgData->rinprebuf + MAX_ORDER - num_samples, right_samples,
|
|
num_samples * sizeof(Float_t));
|
|
}
|
|
else {
|
|
memcpy(rgData->linprebuf, left_samples + num_samples - MAX_ORDER,
|
|
MAX_ORDER * sizeof(Float_t));
|
|
memcpy(rgData->rinprebuf, right_samples + num_samples - MAX_ORDER,
|
|
MAX_ORDER * sizeof(Float_t));
|
|
}
|
|
|
|
return GAIN_ANALYSIS_OK;
|
|
}
|
|
|
|
|
|
static Float_t
|
|
analyzeResult(uint32_t const *Array, size_t len)
|
|
{
|
|
uint32_t elems;
|
|
uint32_t upper;
|
|
uint32_t sum;
|
|
size_t i;
|
|
|
|
elems = 0;
|
|
for (i = 0; i < len; i++)
|
|
elems += Array[i];
|
|
if (elems == 0)
|
|
return GAIN_NOT_ENOUGH_SAMPLES;
|
|
|
|
upper = (uint32_t) ceil(elems * (1. - RMS_PERCENTILE));
|
|
sum = 0;
|
|
for (i = len; i-- > 0;) {
|
|
sum += Array[i];
|
|
if (sum >= upper) {
|
|
break;
|
|
}
|
|
}
|
|
|
|
return (Float_t) ((Float_t) PINK_REF - (Float_t) i / (Float_t) STEPS_per_dB);
|
|
}
|
|
|
|
|
|
Float_t
|
|
GetTitleGain(replaygain_t * rgData)
|
|
{
|
|
Float_t retval;
|
|
unsigned int i;
|
|
|
|
retval = analyzeResult(rgData->A, sizeof(rgData->A) / sizeof(*(rgData->A)));
|
|
|
|
for (i = 0; i < sizeof(rgData->A) / sizeof(*(rgData->A)); i++) {
|
|
rgData->B[i] += rgData->A[i];
|
|
rgData->A[i] = 0;
|
|
}
|
|
|
|
for (i = 0; i < MAX_ORDER; i++)
|
|
rgData->linprebuf[i] = rgData->lstepbuf[i]
|
|
= rgData->loutbuf[i]
|
|
= rgData->rinprebuf[i]
|
|
= rgData->rstepbuf[i]
|
|
= rgData->routbuf[i] = 0.f;
|
|
|
|
rgData->totsamp = 0;
|
|
rgData->lsum = rgData->rsum = 0.;
|
|
return retval;
|
|
}
|
|
|
|
#if 0
|
|
static Float_t GetAlbumGain(replaygain_t const* rgData);
|
|
|
|
Float_t
|
|
GetAlbumGain(replaygain_t const* rgData)
|
|
{
|
|
return analyzeResult(rgData->B, sizeof(rgData->B) / sizeof(*(rgData->B)));
|
|
}
|
|
#endif
|
|
|
|
/* end of gain_analysis.c */
|