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c5a38ad143
This CL introduces a major refactoring of AecState for the purpose of simplifying further improvements to the logic in this code. The changes have successfully been tested for bitexactness. Bug: webrtc:8671 Change-Id: If98efde55a22c76b093089a11a0562daac7e16e6 Reviewed-on: https://webrtc-review.googlesource.com/c/102362 Commit-Queue: Per Åhgren <peah@webrtc.org> Reviewed-by: Gustaf Ullberg <gustaf@webrtc.org> Cr-Commit-Position: refs/heads/master@{#24996}
123 lines
4 KiB
C++
123 lines
4 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 <cmath>
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#include "api/array_view.h"
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#include "modules/audio_processing/aec3/erle_estimator.h"
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#include "test/gtest.h"
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namespace webrtc {
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namespace {
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constexpr int kLowFrequencyLimit = kFftLengthBy2 / 2;
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constexpr float kMaxErleLf = 8.f;
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constexpr float kMaxErleHf = 1.5f;
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constexpr float kMinErle = 1.0f;
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constexpr float kTrueErle = 10.f;
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constexpr float kTrueErleOnsets = 1.0f;
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void VerifyErleBands(rtc::ArrayView<const float> erle,
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float reference_lf,
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float reference_hf) {
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std::for_each(
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erle.begin(), erle.begin() + kLowFrequencyLimit,
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[reference_lf](float a) { EXPECT_NEAR(reference_lf, a, 0.001); });
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std::for_each(
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erle.begin() + kLowFrequencyLimit, erle.end(),
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[reference_hf](float a) { EXPECT_NEAR(reference_hf, a, 0.001); });
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}
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void VerifyErle(rtc::ArrayView<const float> erle,
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float erle_time_domain,
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float reference_lf,
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float reference_hf) {
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VerifyErleBands(erle, reference_lf, reference_hf);
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EXPECT_NEAR(reference_lf, erle_time_domain, 0.5);
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}
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void FormFarendFrame(std::array<float, kFftLengthBy2Plus1>* X2,
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std::array<float, kFftLengthBy2Plus1>* E2,
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std::array<float, kFftLengthBy2Plus1>* Y2,
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float erle) {
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X2->fill(500 * 1000.f * 1000.f);
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E2->fill(1000.f * 1000.f);
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Y2->fill(erle * (*E2)[0]);
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}
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void FormNearendFrame(std::array<float, kFftLengthBy2Plus1>* X2,
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std::array<float, kFftLengthBy2Plus1>* E2,
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std::array<float, kFftLengthBy2Plus1>* Y2) {
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X2->fill(0.f);
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Y2->fill(500.f * 1000.f * 1000.f);
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E2->fill((*Y2)[0]);
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}
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} // namespace
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TEST(ErleEstimator, VerifyErleIncreaseAndHold) {
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std::array<float, kFftLengthBy2Plus1> X2;
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std::array<float, kFftLengthBy2Plus1> E2;
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std::array<float, kFftLengthBy2Plus1> Y2;
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ErleEstimator estimator(0, kMinErle, kMaxErleLf, kMaxErleHf);
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// Verifies that the ERLE estimate is properly increased to higher values.
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FormFarendFrame(&X2, &E2, &Y2, kTrueErle);
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for (size_t k = 0; k < 200; ++k) {
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estimator.Update(X2, Y2, E2, true, true);
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}
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VerifyErle(estimator.Erle(), std::pow(2.f, estimator.FullbandErleLog2()),
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kMaxErleLf, kMaxErleHf);
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FormNearendFrame(&X2, &E2, &Y2);
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// Verifies that the ERLE is not immediately decreased during nearend
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// activity.
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for (size_t k = 0; k < 50; ++k) {
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estimator.Update(X2, Y2, E2, true, true);
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}
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VerifyErle(estimator.Erle(), std::pow(2.f, estimator.FullbandErleLog2()),
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kMaxErleLf, kMaxErleHf);
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}
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TEST(ErleEstimator, VerifyErleTrackingOnOnsets) {
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std::array<float, kFftLengthBy2Plus1> X2;
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std::array<float, kFftLengthBy2Plus1> E2;
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std::array<float, kFftLengthBy2Plus1> Y2;
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ErleEstimator estimator(0, kMinErle, kMaxErleLf, kMaxErleHf);
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for (size_t burst = 0; burst < 20; ++burst) {
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FormFarendFrame(&X2, &E2, &Y2, kTrueErleOnsets);
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for (size_t k = 0; k < 10; ++k) {
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estimator.Update(X2, Y2, E2, true, true);
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}
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FormFarendFrame(&X2, &E2, &Y2, kTrueErle);
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for (size_t k = 0; k < 200; ++k) {
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estimator.Update(X2, Y2, E2, true, true);
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}
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FormNearendFrame(&X2, &E2, &Y2);
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for (size_t k = 0; k < 300; ++k) {
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estimator.Update(X2, Y2, E2, true, true);
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}
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}
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VerifyErleBands(estimator.ErleOnsets(), kMinErle, kMinErle);
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FormNearendFrame(&X2, &E2, &Y2);
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for (size_t k = 0; k < 1000; k++) {
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estimator.Update(X2, Y2, E2, true, true);
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}
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// Verifies that during ne activity, Erle converges to the Erle for onsets.
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VerifyErle(estimator.Erle(), std::pow(2.f, estimator.FullbandErleLog2()),
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kMinErle, kMinErle);
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}
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} // namespace webrtc
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