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Side by Side Diff: webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc

Issue 2678423005: Finalization of the first version of EchoCanceller 3 (Closed)
Patch Set: Fixed compilation error Created 3 years, 9 months ago
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1 /*
2 * Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
3 *
4 * Use of this source code is governed by a BSD-style license
5 * that can be found in the LICENSE file in the root of the source
6 * tree. An additional intellectual property rights grant can be found
7 * in the file PATENTS. All contributing project authors may
8 * be found in the AUTHORS file in the root of the source tree.
9 */
10
11 #include "webrtc/modules/audio_processing/aec3/power_echo_model.h"
12
13 #include <array>
14 #include <string>
15 #include <vector>
16
17 #include "webrtc/base/random.h"
18 #include "webrtc/modules/audio_processing/aec3/aec_state.h"
19 #include "webrtc/modules/audio_processing/aec3/aec3_common.h"
20 #include "webrtc/modules/audio_processing/aec3/aec3_fft.h"
21 #include "webrtc/modules/audio_processing/aec3/echo_path_variability.h"
22 #include "webrtc/modules/audio_processing/test/echo_canceller_test_tools.h"
23
24 #include "webrtc/test/gtest.h"
25
26 namespace webrtc {
27 namespace {
28
29 std::string ProduceDebugText(size_t delay, bool known_delay) {
30 std::ostringstream ss;
31 ss << "True delay: " << delay;
32 ss << ", Delay known: " << (known_delay ? "true" : "false");
33 return ss.str();
34 }
35
36 } // namespace
37
38 #if RTC_DCHECK_IS_ON && GTEST_HAS_DEATH_TEST && !defined(WEBRTC_ANDROID)
39
40 // Verifies that the check for non-null output parameter works.
41 TEST(PowerEchoModel, NullEstimateEchoOutput) {
42 PowerEchoModel model;
43 std::array<float, kFftLengthBy2Plus1> Y2;
44 AecState aec_state;
45 FftBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
46 std::vector<size_t>(1, model.MinFarendBufferLength()));
47
48 EXPECT_DEATH(model.EstimateEcho(X_buffer, Y2, aec_state, nullptr), "");
49 }
50
51 #endif
52
53 TEST(PowerEchoModel, BasicSetup) {
54 PowerEchoModel model;
55 Random random_generator(42U);
56 AecState aec_state;
57 Aec3Fft fft;
58 std::array<float, kFftLengthBy2Plus1> Y2;
59 std::array<float, kFftLengthBy2Plus1> S2;
60 std::array<float, kFftLengthBy2Plus1> E2_main;
61 std::array<float, kFftLengthBy2Plus1> E2_shadow;
62 std::array<float, kBlockSize> x_old;
63 std::array<float, kBlockSize> y;
64 std::vector<float> x(kBlockSize, 0.f);
65 FftData X;
66 FftData Y;
67 x_old.fill(0.f);
68
69 FftBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
70 std::vector<size_t>(1, model.MinFarendBufferLength()));
71
72 for (size_t delay_samples : {0, 64, 301}) {
73 DelayBuffer<float> delay_buffer(delay_samples);
74 auto model_applier = [&](int num_iterations, float y_scale,
75 bool known_delay) {
76 for (int k = 0; k < num_iterations; ++k) {
77 RandomizeSampleVector(&random_generator, x);
78 delay_buffer.Delay(x, y);
79 std::for_each(y.begin(), y.end(), [&](float& a) { a *= y_scale; });
80
81 fft.PaddedFft(x, x_old, &X);
82 X_buffer.Insert(X);
83
84 fft.ZeroPaddedFft(y, &Y);
85 Y.Spectrum(Aec3Optimization::kNone, &Y2);
86
87 aec_state.Update(std::vector<std::array<float, kFftLengthBy2Plus1>>(
88 10, std::array<float, kFftLengthBy2Plus1>()),
89 known_delay ? rtc::Optional<size_t>(delay_samples)
90 : rtc::Optional<size_t>(),
91 X_buffer, E2_main, E2_shadow, Y2, x,
92 EchoPathVariability(false, false), false);
93
94 model.EstimateEcho(X_buffer, Y2, aec_state, &S2);
95 }
96 };
97
98 for (int j = 0; j < 2; ++j) {
99 bool known_delay = j == 0;
100 SCOPED_TRACE(ProduceDebugText(delay_samples, known_delay));
101 // Verify that the echo path estimates converges downwards to a fairly
102 // tight bound estimate.
103 model_applier(600, 1.f, known_delay);
104 for (size_t k = 1; k < S2.size() - 1; ++k) {
105 EXPECT_LE(Y2[k], 2.f * S2[k]);
106 }
107
108 // Verify that stronger echo paths are detected immediately.
109 model_applier(100, 10.f, known_delay);
110 for (size_t k = 1; k < S2.size() - 1; ++k) {
111 EXPECT_LE(Y2[k], 5.f * S2[k]);
112 }
113
114 // Verify that there is a delay until a weaker echo path is detected.
115 model_applier(50, 100.f, known_delay);
116 model_applier(50, 1.f, known_delay);
117 for (size_t k = 1; k < S2.size() - 1; ++k) {
118 EXPECT_LE(100.f * Y2[k], S2[k]);
119 }
120
121 // Verify that an echo path change causes the echo path estimate to be
122 // reset.
123 model_applier(600, 0.1f, known_delay);
124 model.HandleEchoPathChange(EchoPathVariability(true, false));
125 model_applier(50, 0.1f, known_delay);
126 for (size_t k = 1; k < S2.size() - 1; ++k) {
127 EXPECT_LE(10.f * Y2[k], S2[k]);
128 }
129 }
130 }
131 }
132
133 } // namespace webrtc
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