507e8d1f71
The webrtc::AudioMixer uses a limiter component. This CL allows changes the APM-AGC limiter to the APM-AGC2 limiter though a Chrome field trial. The AGC2 limiter has a float interface. We plan to eventually switch to the AGC2 limiter. Therefore, we will now mix in de-interleaved floats. Float mixing will happen both when using the old limiter and when using the new one. After this CL the mixer will support two limiters. The limiters have different interfaces and need different processing steps. Because of that, we make (rather big) changes to the control flow in FrameCombiner. For a short while, we will mix in deinterleaved floats when using any limiter. Originally landed in https://webrtc-review.googlesource.com/c/src/+/56141/ Reverted in https://webrtc-review.googlesource.com/c/src/+/57940 because of both breaking compilation and having a severe error. The error is fixed and a test is added. The compilation issue is fixed. Bug: webrtc:8925 Change-Id: Ieba138dee9652c826459fe637ae2dccbbc06bcf0 Reviewed-on: https://webrtc-review.googlesource.com/58085 Reviewed-by: Gustaf Ullberg <gustaf@webrtc.org> Commit-Queue: Alex Loiko <aleloi@webrtc.org> Cr-Commit-Position: refs/heads/master@{#22207}
123 lines
5.4 KiB
C++
123 lines
5.4 KiB
C++
/*
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* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef MODULES_AUDIO_PROCESSING_AGC2_INTERPOLATED_GAIN_CURVE_H_
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#define MODULES_AUDIO_PROCESSING_AGC2_INTERPOLATED_GAIN_CURVE_H_
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#include <array>
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#include "modules/audio_processing/agc2/agc2_common.h"
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#include "rtc_base/basictypes.h"
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#include "rtc_base/constructormagic.h"
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#include "rtc_base/gtest_prod_util.h"
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namespace webrtc {
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class ApmDataDumper;
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constexpr float kInputLevelScalingFactor = 32768.0f;
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// Defined as DbfsToLinear(kLimiterMaxInputLevelDbFs)
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constexpr float kMaxInputLevelLinear = static_cast<float>(36766.300710566735);
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// Interpolated gain curve using under-approximation to avoid saturation.
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//
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// The goal of this class is allowing fast look ups to get an accurate
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// estimates of the gain to apply given an estimated input level.
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class InterpolatedGainCurve {
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public:
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struct Stats {
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// Region in which the output level equals the input one.
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size_t look_ups_identity_region = 0;
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// Smoothing between the identity and the limiter regions.
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size_t look_ups_knee_region = 0;
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// Limiter region in which the output and input levels are linearly related.
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size_t look_ups_limiter_region = 0;
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// Region in which saturation may occur since the input level is beyond the
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// maximum expected by the limiter.
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size_t look_ups_saturation_region = 0;
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// True if stats have been populated.
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bool available = false;
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};
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// InterpolatedGainCurve(InterpolatedGainCurve&&);
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explicit InterpolatedGainCurve(ApmDataDumper* apm_data_dumper);
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~InterpolatedGainCurve();
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Stats get_stats() const { return stats_; }
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// Given a non-negative input level (linear scale), a scalar factor to apply
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// to a sub-frame is returned.
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// Levels above kLimiterMaxInputLevelDbFs will be reduced to 0 dBFS
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// after applying this gain
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float LookUpGainToApply(float input_level) const;
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private:
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// For comparing 'approximation_params_*_' with ones computed by
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// ComputeInterpolatedGainCurve.
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FRIEND_TEST_ALL_PREFIXES(AutomaticGainController2InterpolatedGainCurve,
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CheckApproximationParams);
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void UpdateStats(float input_level) const;
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ApmDataDumper* const apm_data_dumper_;
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static constexpr std::array<float, kInterpolatedGainCurveTotalPoints>
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approximation_params_x_ = {
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{30057.296875, 30148.986328125, 30240.67578125, 30424.052734375,
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30607.4296875, 30790.806640625, 30974.18359375, 31157.560546875,
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31340.939453125, 31524.31640625, 31707.693359375, 31891.0703125,
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32074.447265625, 32257.82421875, 32441.201171875, 32624.580078125,
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32807.95703125, 32991.33203125, 33174.7109375, 33358.08984375,
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33541.46484375, 33724.84375, 33819.53515625, 34009.5390625,
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34200.05859375, 34389.81640625, 34674.48828125, 35054.375,
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35434.86328125, 35814.81640625, 36195.16796875, 36575.03125}};
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static constexpr std::array<float, kInterpolatedGainCurveTotalPoints>
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approximation_params_m_ = {
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{-3.515235675877192989e-07, -1.050251626111275982e-06,
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-2.085213736791047268e-06, -3.443004743530764244e-06,
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-4.773849468620028347e-06, -6.077375928725814447e-06,
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-7.353257842623861507e-06, -8.601219633419532329e-06,
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-9.821013009059242904e-06, -1.101243378798244521e-05,
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-1.217532644659513608e-05, -1.330956911260727793e-05,
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-1.441507538402220234e-05, -1.549179251014720649e-05,
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-1.653970684856176376e-05, -1.755882840370759368e-05,
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-1.854918446042574942e-05, -1.951086778717581183e-05,
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-2.044398024736437947e-05, -2.1348627342376858e-05,
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-2.222496914328075945e-05, -2.265374678245279938e-05,
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-2.242570917587727308e-05, -2.220122041762806475e-05,
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-2.19802095671184361e-05, -2.176260204578284174e-05,
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-2.133731686626560986e-05, -2.092481918225530535e-05,
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-2.052459603874012828e-05, -2.013615448959171772e-05,
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-1.975903069251216948e-05, -1.939277899509761482e-05}};
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static constexpr std::array<float, kInterpolatedGainCurveTotalPoints>
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approximation_params_q_ = {
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{1.010565876960754395, 1.031631827354431152, 1.062929749488830566,
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1.104239225387573242, 1.144973039627075195, 1.185109615325927734,
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1.224629044532775879, 1.263512492179870605, 1.301741957664489746,
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1.339300632476806641, 1.376173257827758789, 1.412345528602600098,
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1.447803974151611328, 1.482536554336547852, 1.516532182693481445,
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1.549780607223510742, 1.582272171974182129, 1.613999366760253906,
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1.644955039024353027, 1.675132393836975098, 1.704526185989379883,
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1.718986630439758301, 1.711274504661560059, 1.703639745712280273,
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1.696081161499023438, 1.688597679138183594, 1.673851132392883301,
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1.659391283988952637, 1.645209431648254395, 1.631297469139099121,
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1.617647409439086914, 1.604251742362976074}};
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// Stats.
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mutable Stats stats_;
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RTC_DISALLOW_COPY_AND_ASSIGN(InterpolatedGainCurve);
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};
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_AGC2_INTERPOLATED_GAIN_CURVE_H_
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