The ERLE is used to estimate residual echo for echo suppression. The ERLE is reduced during far-end offset to avoid echo leakage. When there is a strong near-end present this can cause unnecessary transparency loss. This change adds an ERLE estimation that does not compensate for onsets and uses it for residual echo estimation when the suppressor considers the near-end to be dominant. Bug: webrtc:12686 Change-Id: Ida78eeacf1f95c6e62403f86ba3f2ff055898a84 Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/215323 Commit-Queue: Gustaf Ullberg <gustaf@webrtc.org> Reviewed-by: Jesus de Vicente Pena <devicentepena@webrtc.org> Cr-Commit-Position: refs/heads/master@{#33786}
100 lines
3.6 KiB
C++
100 lines
3.6 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_AEC3_SUBBAND_ERLE_ESTIMATOR_H_
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#define MODULES_AUDIO_PROCESSING_AEC3_SUBBAND_ERLE_ESTIMATOR_H_
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#include <stddef.h>
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#include <array>
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#include <memory>
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#include <vector>
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#include "api/array_view.h"
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#include "api/audio/echo_canceller3_config.h"
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#include "modules/audio_processing/aec3/aec3_common.h"
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#include "modules/audio_processing/logging/apm_data_dumper.h"
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namespace webrtc {
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// Estimates the echo return loss enhancement for each frequency subband.
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class SubbandErleEstimator {
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public:
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SubbandErleEstimator(const EchoCanceller3Config& config,
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size_t num_capture_channels);
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~SubbandErleEstimator();
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// Resets the ERLE estimator.
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void Reset();
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// Updates the ERLE estimate.
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void Update(rtc::ArrayView<const float, kFftLengthBy2Plus1> X2,
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rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Y2,
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rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> E2,
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const std::vector<bool>& converged_filters);
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// Returns the ERLE estimate.
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rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Erle(
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bool onset_compensated) const {
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return onset_compensated && use_onset_detection_ ? erle_onset_compensated_
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: erle_;
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}
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// Returns the ERLE estimate at onsets (only used for testing).
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rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> ErleDuringOnsets()
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const {
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return erle_during_onsets_;
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}
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void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const;
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private:
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struct AccumulatedSpectra {
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explicit AccumulatedSpectra(size_t num_capture_channels)
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: Y2(num_capture_channels),
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E2(num_capture_channels),
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low_render_energy(num_capture_channels),
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num_points(num_capture_channels) {}
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std::vector<std::array<float, kFftLengthBy2Plus1>> Y2;
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std::vector<std::array<float, kFftLengthBy2Plus1>> E2;
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std::vector<std::array<bool, kFftLengthBy2Plus1>> low_render_energy;
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std::vector<int> num_points;
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};
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void UpdateAccumulatedSpectra(
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rtc::ArrayView<const float, kFftLengthBy2Plus1> X2,
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rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Y2,
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rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> E2,
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const std::vector<bool>& converged_filters);
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void ResetAccumulatedSpectra();
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void UpdateBands(const std::vector<bool>& converged_filters);
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void DecreaseErlePerBandForLowRenderSignals();
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const bool use_onset_detection_;
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const float min_erle_;
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const std::array<float, kFftLengthBy2Plus1> max_erle_;
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const bool use_min_erle_during_onsets_;
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AccumulatedSpectra accum_spectra_;
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// ERLE without special handling of render onsets.
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std::vector<std::array<float, kFftLengthBy2Plus1>> erle_;
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// ERLE lowered during render onsets.
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std::vector<std::array<float, kFftLengthBy2Plus1>> erle_onset_compensated_;
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// Estimation of ERLE during render onsets.
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std::vector<std::array<float, kFftLengthBy2Plus1>> erle_during_onsets_;
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std::vector<std::array<bool, kFftLengthBy2Plus1>> coming_onset_;
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std::vector<std::array<int, kFftLengthBy2Plus1>> hold_counters_;
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};
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_AEC3_SUBBAND_ERLE_ESTIMATOR_H_
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