Major updates to the echo removal functionality in AEC3

webrtc/modules/audio_processing/aec3/aec_state_unittest.cc

Index: webrtc/modules/audio_processing/aec3/aec_state_unittest.cc
diff --git a/webrtc/modules/audio_processing/aec3/aec_state_unittest.cc b/webrtc/modules/audio_processing/aec3/aec_state_unittest.cc
index 312d451946d3d8264861a40549a566da7f45ddef..71d62c9fbec2af9832dfb44299e94eb5cef083d1 100644
--- a/webrtc/modules/audio_processing/aec3/aec_state_unittest.cc
+++ b/webrtc/modules/audio_processing/aec3/aec_state_unittest.cc
@@ -10,9 +10,6 @@
 
 #include "webrtc/modules/audio_processing/aec3/aec_state.h"
 
-// TODO(peah): Reactivate once the next CL has landed.
-#if 0
-
 #include "webrtc/modules/audio_processing/logging/apm_data_dumper.h"
 #include "webrtc/test/gtest.h"
 
@@ -22,13 +19,12 @@ namespace webrtc {
 TEST(AecState, NormalUsage) {
   ApmDataDumper data_dumper(42);
   AecState state;
-  FftBuffer X_buffer(Aec3Optimization::kNone, 30, std::vector<size_t>(1, 30));
+  RenderBuffer render_buffer(Aec3Optimization::kNone, 3, 30,
+                             std::vector<size_t>(1, 30));
   std::array<float, kFftLengthBy2Plus1> E2_main;
-  std::array<float, kFftLengthBy2Plus1> E2_shadow;
   std::array<float, kFftLengthBy2Plus1> Y2;
-  std::array<float, kBlockSize> x;
+  std::vector<std::vector<float>> x(3, std::vector<float>(kBlockSize, 0.f));
   EchoPathVariability echo_path_variability(false, false);
-  x.fill(0.f);
 
   std::vector<std::array<float, kFftLengthBy2Plus1>>
       converged_filter_frequency_response(10);
@@ -38,165 +34,116 @@ TEST(AecState, NormalUsage) {
   std::vector<std::array<float, kFftLengthBy2Plus1>>
       diverged_filter_frequency_response = converged_filter_frequency_response;
   converged_filter_frequency_response[2].fill(100.f);
+  converged_filter_frequency_response[2][0] = 1.f;
 
-  // Verify that model based aec feasibility and linear AEC usability are false
-  // when the filter is diverged and there is no external delay reported.
+  // Verify that linear AEC usability is false when the filter is diverged and
+  // there is no external delay reported.
   state.Update(diverged_filter_frequency_response, rtc::Optional<size_t>(),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
-  EXPECT_FALSE(state.ModelBasedAecFeasible());
-  EXPECT_FALSE(state.UsableLinearEstimate());
-
-  // Verify that model based aec feasibility is true and that linear AEC
-  // usability is false when the filter is diverged and there is an external
-  // delay reported.
-  state.Update(diverged_filter_frequency_response, rtc::Optional<size_t>(),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
-  EXPECT_FALSE(state.ModelBasedAecFeasible());
-  for (int k = 0; k < 50; ++k) {
-    state.Update(diverged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
-  }
-  EXPECT_TRUE(state.ModelBasedAecFeasible());
+               render_buffer, E2_main, Y2, x[0], false);
   EXPECT_FALSE(state.UsableLinearEstimate());
 
   // Verify that linear AEC usability is true when the filter is converged
-  for (int k = 0; k < 50; ++k) {
+  std::fill(x[0].begin(), x[0].end(), 101.f);
+  for (int k = 0; k < 3000; ++k) {
     state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
+                 render_buffer, E2_main, Y2, x[0], false);
   }
   EXPECT_TRUE(state.UsableLinearEstimate());
 
   // Verify that linear AEC usability becomes false after an echo path change is
   // reported
-  echo_path_variability = EchoPathVariability(true, false);
+  state.HandleEchoPathChange(EchoPathVariability(true, false));
   state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
+               render_buffer, E2_main, Y2, x[0], false);
   EXPECT_FALSE(state.UsableLinearEstimate());
 
   // Verify that the active render detection works as intended.
-  x.fill(101.f);
+  std::fill(x[0].begin(), x[0].end(), 101.f);
+  state.HandleEchoPathChange(EchoPathVariability(true, true));
   state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
-  EXPECT_TRUE(state.ActiveRender());
+               render_buffer, E2_main, Y2, x[0], false);
+  EXPECT_FALSE(state.ActiveRender());
 
-  x.fill(0.f);
-  for (int k = 0; k < 200; ++k) {
+  for (int k = 0; k < 1000; ++k) {
     state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
+                 render_buffer, E2_main, Y2, x[0], false);
   }
-  EXPECT_FALSE(state.ActiveRender());
-
-  x.fill(101.f);
-  state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
   EXPECT_TRUE(state.ActiveRender());
 
   // Verify that echo leakage is properly reported.
   state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
+               render_buffer, E2_main, Y2, x[0], false);
   EXPECT_FALSE(state.EchoLeakageDetected());
 
   state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               true);
+               render_buffer, E2_main, Y2, x[0], true);
   EXPECT_TRUE(state.EchoLeakageDetected());
 
-  // Verify that the bands containing reliable filter estimates are properly
-  // reported.
-  echo_path_variability = EchoPathVariability(false, false);
-  for (int k = 0; k < 200; ++k) {
-    state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
-  }
-
-  FftData X;
-  X.re.fill(10000.f);
-  X.im.fill(0.f);
-  for (size_t k = 0; k < X_buffer.Buffer().size(); ++k) {
-    X_buffer.Insert(X);
-  }
-
-  Y2.fill(10.f * 1000.f * 1000.f);
-  E2_main.fill(100.f * Y2[0]);
-  E2_shadow.fill(100.f * Y2[0]);
-  state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
-
-  E2_main.fill(0.1f * Y2[0]);
-  E2_shadow.fill(E2_main[0]);
-  for (size_t k = 0; k < Y2.size(); k += 2) {
-    E2_main[k] = Y2[k];
-    E2_shadow[k] = Y2[k];
+  // Verify that the ERL is properly estimated
+  for (auto& x_k : x) {
+    x_k = std::vector<float>(kBlockSize, 0.f);
   }
-  state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-               X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-               false);
 
-  const std::array<bool, kFftLengthBy2Plus1>& reliable_bands =
-      state.BandsWithReliableFilter();
-
-  EXPECT_EQ(reliable_bands[0], reliable_bands[1]);
-  for (size_t k = 1; k < kFftLengthBy2 - 5; ++k) {
-    EXPECT_TRUE(reliable_bands[k]);
-  }
-  for (size_t k = kFftLengthBy2 - 5; k < reliable_bands.size(); ++k) {
-    EXPECT_EQ(reliable_bands[kFftLengthBy2 - 6], reliable_bands[k]);
+  x[0][0] = 5000.f;
+  for (size_t k = 0; k < render_buffer.Buffer().size(); ++k) {
+    render_buffer.Insert(x);
   }
 
-  // Verify that the ERL is properly estimated
-  Y2.fill(10.f * X.re[0] * X.re[0]);
-  for (size_t k = 0; k < 100000; ++k) {
+  Y2.fill(10.f * 10000.f * 10000.f);
+  for (size_t k = 0; k < 1000; ++k) {
     state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
+                 render_buffer, E2_main, Y2, x[0], false);
   }
 
   ASSERT_TRUE(state.UsableLinearEstimate());
   const std::array<float, kFftLengthBy2Plus1>& erl = state.Erl();
-  std::for_each(erl.begin(), erl.end(),
-                [](float a) { EXPECT_NEAR(10.f, a, 0.1); });
+  EXPECT_EQ(erl[0], erl[1]);
+  for (size_t k = 1; k < erl.size() - 1; ++k) {
+    EXPECT_NEAR(k % 2 == 0 ? 10.f : 1000.f, erl[k], 0.1);
+  }
+  EXPECT_EQ(erl[erl.size() - 2], erl[erl.size() - 1]);
 
   // Verify that the ERLE is properly estimated
-  E2_main.fill(1.f * X.re[0] * X.re[0]);
+  E2_main.fill(1.f * 10000.f * 10000.f);
   Y2.fill(10.f * E2_main[0]);
-  for (size_t k = 0; k < 10000; ++k) {
+  for (size_t k = 0; k < 1000; ++k) {
     state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
+                 render_buffer, E2_main, Y2, x[0], false);
   }
   ASSERT_TRUE(state.UsableLinearEstimate());
-  std::for_each(state.Erle().begin(), state.Erle().end(),
-                [](float a) { EXPECT_NEAR(8.f, a, 0.1); });
+  {
+    const auto& erle = state.Erle();
+    EXPECT_EQ(erle[0], erle[1]);
+    for (size_t k = 1; k < erle.size() - 1; ++k) {
+      EXPECT_NEAR(k % 2 == 0 ? 8.f : 1.f, erle[k], 0.1);
+    }
+    EXPECT_EQ(erle[erle.size() - 2], erle[erle.size() - 1]);
+  }
 
-  E2_main.fill(1.f * X.re[0] * X.re[0]);
+  E2_main.fill(1.f * 10000.f * 10000.f);
   Y2.fill(5.f * E2_main[0]);
-  for (size_t k = 0; k < 10000; ++k) {
+  for (size_t k = 0; k < 1000; ++k) {
     state.Update(converged_filter_frequency_response, rtc::Optional<size_t>(2),
-                 X_buffer, E2_main, E2_shadow, Y2, x, echo_path_variability,
-                 false);
+                 render_buffer, E2_main, Y2, x[0], false);
   }
+
   ASSERT_TRUE(state.UsableLinearEstimate());
-  std::for_each(state.Erle().begin(), state.Erle().end(),
-                [](float a) { EXPECT_NEAR(5.f, a, 0.1); });
+  {
+    const auto& erle = state.Erle();
+    EXPECT_EQ(erle[0], erle[1]);
+    for (size_t k = 1; k < erle.size() - 1; ++k) {
+      EXPECT_NEAR(k % 2 == 0 ? 5.f : 1.f, erle[k], 0.1);
+    }
+    EXPECT_EQ(erle[erle.size() - 2], erle[erle.size() - 1]);
+  }
 }
 
 // Verifies the a non-significant delay is correctly identified.
 TEST(AecState, NonSignificantDelay) {
   AecState state;
-  FftBuffer X_buffer(Aec3Optimization::kNone, 30, std::vector<size_t>(1, 30));
+  RenderBuffer render_buffer(Aec3Optimization::kNone, 3, 30,
+                             std::vector<size_t>(1, 30));
   std::array<float, kFftLengthBy2Plus1> E2_main;
-  std::array<float, kFftLengthBy2Plus1> E2_shadow;
   std::array<float, kFftLengthBy2Plus1> Y2;
   std::array<float, kBlockSize> x;
   EchoPathVariability echo_path_variability(false, false);
@@ -208,8 +155,9 @@ TEST(AecState, NonSignificantDelay) {
   }
 
   // Verify that a non-significant filter delay is identified correctly.
-  state.Update(frequency_response, rtc::Optional<size_t>(), X_buffer, E2_main,
-               E2_shadow, Y2, x, echo_path_variability, false);
+  state.HandleEchoPathChange(echo_path_variability);
+  state.Update(frequency_response, rtc::Optional<size_t>(), render_buffer,
+               E2_main, Y2, x, false);
   EXPECT_FALSE(state.FilterDelay());
 }
 
@@ -217,9 +165,9 @@ TEST(AecState, NonSignificantDelay) {
 TEST(AecState, ConvergedFilterDelay) {
   constexpr int kFilterLength = 10;
   AecState state;
-  FftBuffer X_buffer(Aec3Optimization::kNone, 30, std::vector<size_t>(1, 30));
+  RenderBuffer render_buffer(Aec3Optimization::kNone, 3, 30,
+                             std::vector<size_t>(1, 30));
   std::array<float, kFftLengthBy2Plus1> E2_main;
-  std::array<float, kFftLengthBy2Plus1> E2_shadow;
   std::array<float, kFftLengthBy2Plus1> Y2;
   std::array<float, kBlockSize> x;
   EchoPathVariability echo_path_variability(false, false);
@@ -234,9 +182,10 @@ TEST(AecState, ConvergedFilterDelay) {
       v.fill(0.01f);
     }
     frequency_response[k].fill(100.f);
-
-    state.Update(frequency_response, rtc::Optional<size_t>(), X_buffer, E2_main,
-                 E2_shadow, Y2, x, echo_path_variability, false);
+    frequency_response[k][0] = 0.f;
+    state.HandleEchoPathChange(echo_path_variability);
+    state.Update(frequency_response, rtc::Optional<size_t>(), render_buffer,
+                 E2_main, Y2, x, false);
     EXPECT_TRUE(k == (kFilterLength - 1) || state.FilterDelay());
     if (k != (kFilterLength - 1)) {
       EXPECT_EQ(k, state.FilterDelay());
@@ -255,27 +204,27 @@ TEST(AecState, ExternalDelay) {
   E2_shadow.fill(0.f);
   Y2.fill(0.f);
   x.fill(0.f);
-  FftBuffer X_buffer(Aec3Optimization::kNone, 30, std::vector<size_t>(1, 30));
+  RenderBuffer render_buffer(Aec3Optimization::kNone, 3, 30,
+                             std::vector<size_t>(1, 30));
   std::vector<std::array<float, kFftLengthBy2Plus1>> frequency_response(30);
   for (auto& v : frequency_response) {
     v.fill(0.01f);
   }
 
   for (size_t k = 0; k < frequency_response.size() - 1; ++k) {
+    state.HandleEchoPathChange(EchoPathVariability(false, false));
     state.Update(frequency_response, rtc::Optional<size_t>(k * kBlockSize + 5),
-                 X_buffer, E2_main, E2_shadow, Y2, x,
-                 EchoPathVariability(false, false), false);
+                 render_buffer, E2_main, Y2, x, false);
     EXPECT_TRUE(state.ExternalDelay());
     EXPECT_EQ(k, state.ExternalDelay());
   }
 
   // Verify that the externally reported delay is properly unset when it is no
   // longer present.
-  state.Update(frequency_response, rtc::Optional<size_t>(), X_buffer, E2_main,
-               E2_shadow, Y2, x, EchoPathVariability(false, false), false);
+  state.HandleEchoPathChange(EchoPathVariability(false, false));
+  state.Update(frequency_response, rtc::Optional<size_t>(), render_buffer,
+               E2_main, Y2, x, false);
   EXPECT_FALSE(state.ExternalDelay());
 }
 
 }  // namespace webrtc
-
-#endif