This CL ensures a smooth transition from the parameters used during the startup phase in the call to the parameters used in the rest of the call. This is achieved by slowly transitioning between the parameter sets via interpolation. Bug: chromium:819240,webrtc:8983 Change-Id: Ifbac4b93fc6ad6efc441f41fb88ef09e8ee3d669 Reviewed-on: https://webrtc-review.googlesource.com/60360 Reviewed-by: Jesus de Vicente Pena <devicentepena@webrtc.org> Commit-Queue: Per Åhgren <peah@webrtc.org> Cr-Commit-Position: refs/heads/master@{#22451}
214 lines
8.2 KiB
C++
214 lines
8.2 KiB
C++
/*
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* Copyright (c) 2017 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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#include "modules/audio_processing/aec3/subtractor.h"
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#include <algorithm>
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#include <numeric>
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#include "api/array_view.h"
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#include "modules/audio_processing/logging/apm_data_dumper.h"
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#include "rtc_base/checks.h"
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#include "rtc_base/numerics/safe_minmax.h"
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namespace webrtc {
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namespace {
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void PredictionError(const Aec3Fft& fft,
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const FftData& S,
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rtc::ArrayView<const float> y,
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std::array<float, kBlockSize>* e,
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std::array<float, kBlockSize>* s,
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bool* saturation) {
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std::array<float, kFftLength> tmp;
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fft.Ifft(S, &tmp);
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constexpr float kScale = 1.0f / kFftLengthBy2;
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std::transform(y.begin(), y.end(), tmp.begin() + kFftLengthBy2, e->begin(),
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[&](float a, float b) { return a - b * kScale; });
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*saturation = false;
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if (s) {
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for (size_t k = 0; k < s->size(); ++k) {
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(*s)[k] = kScale * tmp[k + kFftLengthBy2];
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}
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auto result = std::minmax_element(s->begin(), s->end());
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*saturation = *result.first <= -32768 || *result.first >= 32767;
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}
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if (!(*saturation)) {
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auto result = std::minmax_element(e->begin(), e->end());
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*saturation = *result.first <= -32768 || *result.first >= 32767;
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}
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std::for_each(e->begin(), e->end(),
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[](float& a) { a = rtc::SafeClamp(a, -32768.f, 32767.f); });
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}
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} // namespace
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Subtractor::Subtractor(const EchoCanceller3Config& config,
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ApmDataDumper* data_dumper,
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Aec3Optimization optimization)
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: fft_(),
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data_dumper_(data_dumper),
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optimization_(optimization),
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config_(config),
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main_filter_(config_.filter.main.length_blocks,
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config_.filter.main_initial.length_blocks,
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config.filter.config_change_duration_blocks,
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optimization,
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data_dumper_),
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shadow_filter_(config_.filter.shadow.length_blocks,
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config_.filter.shadow_initial.length_blocks,
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config.filter.config_change_duration_blocks,
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optimization,
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data_dumper_),
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G_main_(config_.filter.main_initial,
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config_.filter.config_change_duration_blocks),
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G_shadow_(config_.filter.shadow_initial,
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config.filter.config_change_duration_blocks) {
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RTC_DCHECK(data_dumper_);
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// Currently, the rest of AEC3 requires the main and shadow filter lengths to
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// be identical.
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RTC_DCHECK_EQ(config_.filter.main.length_blocks,
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config_.filter.shadow.length_blocks);
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RTC_DCHECK_EQ(config_.filter.main_initial.length_blocks,
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config_.filter.shadow_initial.length_blocks);
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}
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Subtractor::~Subtractor() = default;
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void Subtractor::HandleEchoPathChange(
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const EchoPathVariability& echo_path_variability) {
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const auto full_reset = [&]() {
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main_filter_.HandleEchoPathChange();
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shadow_filter_.HandleEchoPathChange();
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G_main_.HandleEchoPathChange(echo_path_variability);
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G_shadow_.HandleEchoPathChange();
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G_main_.SetConfig(config_.filter.main_initial, true);
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G_shadow_.SetConfig(config_.filter.shadow_initial, true);
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main_filter_converged_ = false;
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shadow_filter_converged_ = false;
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main_filter_.SetSizePartitions(config_.filter.main_initial.length_blocks,
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true);
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shadow_filter_.SetSizePartitions(
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config_.filter.shadow_initial.length_blocks, true);
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};
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// TODO(peah): Add delay-change specific reset behavior.
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if ((echo_path_variability.delay_change ==
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EchoPathVariability::DelayAdjustment::kBufferFlush) ||
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(echo_path_variability.delay_change ==
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EchoPathVariability::DelayAdjustment::kDelayReset)) {
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full_reset();
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} else if (echo_path_variability.delay_change ==
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EchoPathVariability::DelayAdjustment::kNewDetectedDelay) {
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full_reset();
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} else if (echo_path_variability.delay_change ==
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EchoPathVariability::DelayAdjustment::kBufferReadjustment) {
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full_reset();
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}
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}
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void Subtractor::ExitInitialState() {
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G_main_.SetConfig(config_.filter.main, false);
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G_shadow_.SetConfig(config_.filter.shadow, false);
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main_filter_.SetSizePartitions(config_.filter.main.length_blocks, false);
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shadow_filter_.SetSizePartitions(config_.filter.shadow.length_blocks, false);
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}
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void Subtractor::Process(const RenderBuffer& render_buffer,
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const rtc::ArrayView<const float> capture,
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const RenderSignalAnalyzer& render_signal_analyzer,
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const AecState& aec_state,
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SubtractorOutput* output) {
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RTC_DCHECK_EQ(kBlockSize, capture.size());
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rtc::ArrayView<const float> y = capture;
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FftData& E_main = output->E_main;
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FftData& E_main_nonwindowed = output->E_main_nonwindowed;
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FftData E_shadow;
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std::array<float, kBlockSize>& e_main = output->e_main;
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std::array<float, kBlockSize>& e_shadow = output->e_shadow;
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FftData S;
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FftData& G = S;
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// Form the output of the main filter.
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main_filter_.Filter(render_buffer, &S);
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bool main_saturation = false;
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PredictionError(fft_, S, y, &e_main, &output->s_main, &main_saturation);
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fft_.ZeroPaddedFft(e_main, Aec3Fft::Window::kHanning, &E_main);
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// Form the output of the shadow filter.
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shadow_filter_.Filter(render_buffer, &S);
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bool shadow_saturation = false;
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PredictionError(fft_, S, y, &e_shadow, nullptr, &shadow_saturation);
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fft_.ZeroPaddedFft(e_shadow, Aec3Fft::Window::kHanning, &E_shadow);
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if (!(main_filter_converged_ || shadow_filter_converged_)) {
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const auto sum_of_squares = [](float a, float b) { return a + b * b; };
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const float y2 = std::accumulate(y.begin(), y.end(), 0.f, sum_of_squares);
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if (!main_filter_converged_) {
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const float e2_main =
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std::accumulate(e_main.begin(), e_main.end(), 0.f, sum_of_squares);
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main_filter_converged_ = e2_main > 0.1 * y2;
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}
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if (!shadow_filter_converged_) {
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const float e2_shadow = std::accumulate(e_shadow.begin(), e_shadow.end(),
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0.f, sum_of_squares);
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shadow_filter_converged_ = e2_shadow > 0.1 * y2;
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}
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}
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// Compute spectra for future use.
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E_shadow.Spectrum(optimization_, output->E2_shadow);
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E_main.Spectrum(optimization_, output->E2_main);
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if (main_filter_converged_ || !shadow_filter_converged_) {
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fft_.ZeroPaddedFft(e_main, Aec3Fft::Window::kRectangular,
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&E_main_nonwindowed);
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E_main_nonwindowed.Spectrum(optimization_, output->E2_main_nonwindowed);
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} else {
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fft_.ZeroPaddedFft(e_shadow, Aec3Fft::Window::kRectangular,
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&E_main_nonwindowed);
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E_main_nonwindowed.Spectrum(optimization_, output->E2_main_nonwindowed);
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}
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// Update the main filter.
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std::array<float, kFftLengthBy2Plus1> X2;
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render_buffer.SpectralSum(main_filter_.SizePartitions(), &X2);
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G_main_.Compute(X2, render_signal_analyzer, *output, main_filter_,
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aec_state.SaturatedCapture() || main_saturation, &G);
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main_filter_.Adapt(render_buffer, G);
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data_dumper_->DumpRaw("aec3_subtractor_G_main", G.re);
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data_dumper_->DumpRaw("aec3_subtractor_G_main", G.im);
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// Update the shadow filter.
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if (shadow_filter_.SizePartitions() != main_filter_.SizePartitions()) {
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render_buffer.SpectralSum(shadow_filter_.SizePartitions(), &X2);
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}
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G_shadow_.Compute(X2, render_signal_analyzer, E_shadow,
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shadow_filter_.SizePartitions(),
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aec_state.SaturatedCapture() || shadow_saturation, &G);
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shadow_filter_.Adapt(render_buffer, G);
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data_dumper_->DumpRaw("aec3_subtractor_G_shadow", G.re);
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data_dumper_->DumpRaw("aec3_subtractor_G_shadow", G.im);
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main_filter_.DumpFilter("aec3_subtractor_H_main", "aec3_subtractor_h_main");
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shadow_filter_.DumpFilter("aec3_subtractor_H_shadow",
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"aec3_subtractor_h_shadow");
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}
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} // namespace webrtc
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