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44974e143c
In this CL a more precise estimation of the Erle is introduced. This is done by creating different estimators that are specialized in different regions of the linear filter. An estimation of which regions were used for generating the current echo estimate is performed and used for selecting the right Erle estimator. Bug: webrtc:9961 Change-Id: Iba6eb24596c067c3c66d40df590be379d3e1bb7b Reviewed-on: https://webrtc-review.googlesource.com/c/109400 Reviewed-by: Per Åhgren <peah@webrtc.org> Commit-Queue: Jesus de Vicente Pena <devicentepena@webrtc.org> Cr-Commit-Position: refs/heads/master@{#25707}
78 lines
2.7 KiB
C++
78 lines
2.7 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/erle_estimator.h"
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#include "modules/audio_processing/aec3/aec3_common.h"
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#include "rtc_base/checks.h"
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namespace webrtc {
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ErleEstimator::ErleEstimator(size_t startup_phase_length_blocks_,
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const EchoCanceller3Config& config)
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: startup_phase_length_blocks__(startup_phase_length_blocks_),
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use_signal_dependent_erle_(config.erle.num_sections > 1),
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fullband_erle_estimator_(config.erle.min, config.erle.max_l),
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subband_erle_estimator_(config),
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signal_dependent_erle_estimator_(config) {
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Reset(true);
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}
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ErleEstimator::~ErleEstimator() = default;
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void ErleEstimator::Reset(bool delay_change) {
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fullband_erle_estimator_.Reset();
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subband_erle_estimator_.Reset();
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signal_dependent_erle_estimator_.Reset();
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if (delay_change) {
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blocks_since_reset_ = 0;
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}
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}
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void ErleEstimator::Update(
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const RenderBuffer& render_buffer,
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const std::vector<std::array<float, kFftLengthBy2Plus1>>&
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filter_frequency_response,
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rtc::ArrayView<const float> reverb_render_spectrum,
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rtc::ArrayView<const float> capture_spectrum,
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rtc::ArrayView<const float> subtractor_spectrum,
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bool converged_filter,
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bool onset_detection) {
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RTC_DCHECK_EQ(kFftLengthBy2Plus1, reverb_render_spectrum.size());
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RTC_DCHECK_EQ(kFftLengthBy2Plus1, capture_spectrum.size());
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RTC_DCHECK_EQ(kFftLengthBy2Plus1, subtractor_spectrum.size());
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const auto& X2_reverb = reverb_render_spectrum;
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const auto& Y2 = capture_spectrum;
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const auto& E2 = subtractor_spectrum;
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if (++blocks_since_reset_ < startup_phase_length_blocks__) {
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return;
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}
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subband_erle_estimator_.Update(X2_reverb, Y2, E2, converged_filter,
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onset_detection);
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if (use_signal_dependent_erle_) {
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signal_dependent_erle_estimator_.Update(
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render_buffer, filter_frequency_response, X2_reverb, Y2, E2,
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subband_erle_estimator_.Erle(), converged_filter);
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}
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fullband_erle_estimator_.Update(X2_reverb, Y2, E2, converged_filter);
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}
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void ErleEstimator::Dump(
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const std::unique_ptr<ApmDataDumper>& data_dumper) const {
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fullband_erle_estimator_.Dump(data_dumper);
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subband_erle_estimator_.Dump(data_dumper);
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signal_dependent_erle_estimator_.Dump(data_dumper);
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}
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} // namespace webrtc
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