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c65ce78027
This CL separates the NLP gain computation for the different variants of echo estimation. This simplifies the setting of tuning parameters, with resulting transparency improvements and increased echo removal performance. Bug: webrtc:8359 Change-Id: I9b97064396fb6f6e2f418ce534573f68694390a1 Reviewed-on: https://webrtc-review.googlesource.com/7613 Reviewed-by: Gustaf Ullberg <gustaf@webrtc.org> Commit-Queue: Per Åhgren <peah@webrtc.org> Cr-Commit-Position: refs/heads/master@{#20209}
95 lines
3.4 KiB
C++
95 lines
3.4 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 "modules/audio_processing/aec3/residual_echo_estimator.h"
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#include "modules/audio_processing/aec3/aec3_fft.h"
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#include "modules/audio_processing/aec3/aec_state.h"
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#include "modules/audio_processing/include/audio_processing.h"
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#include "modules/audio_processing/test/echo_canceller_test_tools.h"
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#include "rtc_base/random.h"
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#include "test/gtest.h"
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namespace webrtc {
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#if RTC_DCHECK_IS_ON && GTEST_HAS_DEATH_TEST && !defined(WEBRTC_ANDROID)
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// Verifies that the check for non-null output residual echo power works.
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TEST(ResidualEchoEstimator, NullResidualEchoPowerOutput) {
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AecState aec_state(AudioProcessing::Config::EchoCanceller3{});
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RenderBuffer render_buffer(Aec3Optimization::kNone, 3, 10,
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std::vector<size_t>(1, 10));
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std::vector<std::array<float, kFftLengthBy2Plus1>> H2;
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std::array<float, kFftLengthBy2Plus1> S2_linear;
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std::array<float, kFftLengthBy2Plus1> Y2;
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EXPECT_DEATH(ResidualEchoEstimator(AudioProcessing::Config::EchoCanceller3{})
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.Estimate(aec_state, render_buffer, S2_linear, Y2, nullptr),
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"");
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}
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#endif
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TEST(ResidualEchoEstimator, BasicTest) {
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ResidualEchoEstimator estimator(AudioProcessing::Config::EchoCanceller3{});
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AudioProcessing::Config::EchoCanceller3 config;
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config.param.ep_strength.default_len = 0.f;
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AecState aec_state(config);
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RenderBuffer render_buffer(Aec3Optimization::kNone, 3, 10,
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std::vector<size_t>(1, 10));
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std::array<float, kFftLengthBy2Plus1> E2_main;
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std::array<float, kFftLengthBy2Plus1> E2_shadow;
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std::array<float, kFftLengthBy2Plus1> S2_linear;
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std::array<float, kFftLengthBy2Plus1> S2_fallback;
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std::array<float, kFftLengthBy2Plus1> Y2;
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std::array<float, kFftLengthBy2Plus1> R2;
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EchoPathVariability echo_path_variability(false, false);
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std::vector<std::vector<float>> x(3, std::vector<float>(kBlockSize, 0.f));
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std::vector<std::array<float, kFftLengthBy2Plus1>> H2(10);
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Random random_generator(42U);
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FftData X;
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std::array<float, kBlockSize> x_old;
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std::array<float, kBlockSize> s;
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Aec3Fft fft;
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for (auto& H2_k : H2) {
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H2_k.fill(0.01f);
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}
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H2[2].fill(10.f);
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H2[2][0] = 0.1f;
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std::array<float, kAdaptiveFilterTimeDomainLength> h;
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h.fill(0.f);
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s.fill(100.f);
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constexpr float kLevel = 10.f;
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E2_shadow.fill(kLevel);
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E2_main.fill(kLevel);
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S2_linear.fill(kLevel);
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S2_fallback.fill(kLevel);
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Y2.fill(kLevel);
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for (int k = 0; k < 2000; ++k) {
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RandomizeSampleVector(&random_generator, x[0]);
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std::for_each(x[0].begin(), x[0].end(), [](float& a) { a /= 30.f; });
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fft.PaddedFft(x[0], x_old, &X);
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render_buffer.Insert(x);
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aec_state.HandleEchoPathChange(echo_path_variability);
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aec_state.Update(H2, h, rtc::Optional<size_t>(2), render_buffer, E2_main,
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Y2, x[0], s, false);
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estimator.Estimate(aec_state, render_buffer, S2_linear, Y2, &R2);
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}
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std::for_each(R2.begin(), R2.end(),
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[&](float a) { EXPECT_NEAR(kLevel, a, 0.1f); });
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}
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} // namespace webrtc
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