Specially for devices with high echo path gain, even low render signal can allow the linear filter of the AEC3 to converge. However, the conditions that were used for updating the ERLE avoided to update that estimation. In this commit, we allow adapting the ERLE estimator using even low render signal but the update of the ERLE is constraint in a way that decreases are not allowed. Bug: webrtc:9776 Change-Id: Ic4331efcc47a0b05f394cdea9a88f336292de5a1 Reviewed-on: https://webrtc-review.googlesource.com/101641 Commit-Queue: Jesus de Vicente Pena <devicentepena@webrtc.org> Reviewed-by: Per Åhgren <peah@webrtc.org> Cr-Commit-Position: refs/heads/master@{#24859}
169 lines
5.4 KiB
C++
169 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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#include "modules/audio_processing/aec3/fullband_erle_estimator.h"
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#include <algorithm>
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#include <memory>
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#include <numeric>
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#include "absl/types/optional.h"
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#include "api/array_view.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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#include "rtc_base/numerics/safe_minmax.h"
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namespace webrtc {
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namespace {
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constexpr float kEpsilon = 1e-3f;
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constexpr float kX2BandEnergyThreshold = 44015068.0f;
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constexpr int kErleHold = 100;
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constexpr int kPointsToAccumulate = 6;
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} // namespace
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FullBandErleEstimator::FullBandErleEstimator(float min_erle, float max_erle_lf)
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: min_erle_log2_(FastApproxLog2f(min_erle + kEpsilon)),
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max_erle_lf_log2(FastApproxLog2f(max_erle_lf + kEpsilon)) {
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Reset();
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}
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FullBandErleEstimator::~FullBandErleEstimator() = default;
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void FullBandErleEstimator::Reset() {
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instantaneous_erle_.Reset();
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erle_time_domain_log2_ = min_erle_log2_;
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hold_counter_time_domain_ = 0;
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}
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void FullBandErleEstimator::Update(rtc::ArrayView<const float> X2,
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rtc::ArrayView<const float> Y2,
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rtc::ArrayView<const float> E2,
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bool converged_filter) {
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if (converged_filter) {
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// Computes the fullband ERLE.
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const float X2_sum = std::accumulate(X2.begin(), X2.end(), 0.0f);
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if (X2_sum > kX2BandEnergyThreshold * X2.size()) {
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const float Y2_sum = std::accumulate(Y2.begin(), Y2.end(), 0.0f);
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const float E2_sum = std::accumulate(E2.begin(), E2.end(), 0.0f);
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if (instantaneous_erle_.Update(Y2_sum, E2_sum)) {
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hold_counter_time_domain_ = kErleHold;
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erle_time_domain_log2_ +=
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0.1f * ((instantaneous_erle_.GetInstErleLog2().value()) -
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erle_time_domain_log2_);
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erle_time_domain_log2_ = rtc::SafeClamp(
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erle_time_domain_log2_, min_erle_log2_, max_erle_lf_log2);
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}
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}
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}
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--hold_counter_time_domain_;
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if (hold_counter_time_domain_ <= 0) {
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erle_time_domain_log2_ =
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std::max(min_erle_log2_, erle_time_domain_log2_ - 0.044f);
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}
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if (hold_counter_time_domain_ == 0) {
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instantaneous_erle_.ResetAccumulators();
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}
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}
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void FullBandErleEstimator::Dump(
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const std::unique_ptr<ApmDataDumper>& data_dumper) const {
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data_dumper->DumpRaw("aec3_fullband_erle_log2", FullbandErleLog2());
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instantaneous_erle_.Dump(data_dumper);
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}
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FullBandErleEstimator::ErleInstantaneous::ErleInstantaneous() {
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Reset();
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}
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FullBandErleEstimator::ErleInstantaneous::~ErleInstantaneous() = default;
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bool FullBandErleEstimator::ErleInstantaneous::Update(const float Y2_sum,
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const float E2_sum) {
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bool update_estimates = false;
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E2_acum_ += E2_sum;
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Y2_acum_ += Y2_sum;
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num_points_++;
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if (num_points_ == kPointsToAccumulate) {
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if (E2_acum_ > 0.f) {
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update_estimates = true;
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erle_log2_ = FastApproxLog2f(Y2_acum_ / E2_acum_ + kEpsilon);
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}
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num_points_ = 0;
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E2_acum_ = 0.f;
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Y2_acum_ = 0.f;
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}
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if (update_estimates) {
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UpdateMaxMin();
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UpdateQualityEstimate();
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}
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return update_estimates;
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}
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void FullBandErleEstimator::ErleInstantaneous::Reset() {
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ResetAccumulators();
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max_erle_log2_ = -10.f; // -30 dB.
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min_erle_log2_ = 33.f; // 100 dB.
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inst_quality_estimate_ = 0.f;
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}
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void FullBandErleEstimator::ErleInstantaneous::ResetAccumulators() {
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erle_log2_ = absl::nullopt;
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inst_quality_estimate_ = 0.f;
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num_points_ = 0;
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E2_acum_ = 0.f;
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Y2_acum_ = 0.f;
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}
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void FullBandErleEstimator::ErleInstantaneous::Dump(
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const std::unique_ptr<ApmDataDumper>& data_dumper) const {
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data_dumper->DumpRaw("aec3_fullband_erle_inst_log2",
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erle_log2_ ? *erle_log2_ : -10.f);
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data_dumper->DumpRaw(
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"aec3_erle_instantaneous_quality",
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GetQualityEstimate() ? GetQualityEstimate().value() : 0.f);
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data_dumper->DumpRaw("aec3_fullband_erle_max_log2", max_erle_log2_);
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data_dumper->DumpRaw("aec3_fullband_erle_min_log2", min_erle_log2_);
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}
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void FullBandErleEstimator::ErleInstantaneous::UpdateMaxMin() {
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RTC_DCHECK(erle_log2_);
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if (erle_log2_.value() > max_erle_log2_) {
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max_erle_log2_ = erle_log2_.value();
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} else {
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max_erle_log2_ -= 0.0004; // Forget factor, approx 1dB every 3 sec.
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}
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if (erle_log2_.value() < min_erle_log2_) {
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min_erle_log2_ = erle_log2_.value();
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} else {
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min_erle_log2_ += 0.0004; // Forget factor, approx 1dB every 3 sec.
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}
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}
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void FullBandErleEstimator::ErleInstantaneous::UpdateQualityEstimate() {
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const float alpha = 0.07f;
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float quality_estimate = 0.f;
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RTC_DCHECK(erle_log2_);
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if (max_erle_log2_ > min_erle_log2_) {
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quality_estimate = (erle_log2_.value() - min_erle_log2_) /
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(max_erle_log2_ - min_erle_log2_);
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}
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if (quality_estimate > inst_quality_estimate_) {
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inst_quality_estimate_ = quality_estimate;
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} else {
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inst_quality_estimate_ +=
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alpha * (quality_estimate - inst_quality_estimate_);
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}
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}
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} // namespace webrtc
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