| Index: webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc
|
| diff --git a/webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc b/webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc
|
| index 019be60389e5db1ce9f34e7e1a6895a0760a3864..ce49c17c33d2b0bb0b09e8a570c1102340c7fb52 100644
|
| --- a/webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc
|
| +++ b/webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc
|
| @@ -24,16 +24,6 @@
|
| #include "webrtc/test/gtest.h"
|
|
|
| namespace webrtc {
|
| -namespace {
|
| -
|
| -std::string ProduceDebugText(size_t delay, bool known_delay) {
|
| - std::ostringstream ss;
|
| - ss << "True delay: " << delay;
|
| - ss << ", Delay known: " << (known_delay ? "true" : "false");
|
| - return ss.str();
|
| -}
|
| -
|
| -} // namespace
|
|
|
| #if RTC_DCHECK_IS_ON && GTEST_HAS_DEATH_TEST && !defined(WEBRTC_ANDROID)
|
|
|
| @@ -42,92 +32,13 @@ TEST(PowerEchoModel, NullEstimateEchoOutput) {
|
| PowerEchoModel model;
|
| std::array<float, kFftLengthBy2Plus1> Y2;
|
| AecState aec_state;
|
| - FftBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
|
| - std::vector<size_t>(1, model.MinFarendBufferLength()));
|
| + RenderBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
|
| + std::vector<size_t>(1, model.MinFarendBufferLength()));
|
|
|
| EXPECT_DEATH(model.EstimateEcho(X_buffer, Y2, aec_state, nullptr), "");
|
| }
|
|
|
| #endif
|
|
|
| -TEST(PowerEchoModel, BasicSetup) {
|
| - PowerEchoModel model;
|
| - Random random_generator(42U);
|
| - AecState aec_state;
|
| - Aec3Fft fft;
|
| - std::array<float, kFftLengthBy2Plus1> Y2;
|
| - std::array<float, kFftLengthBy2Plus1> S2;
|
| - std::array<float, kFftLengthBy2Plus1> E2_main;
|
| - std::array<float, kFftLengthBy2Plus1> E2_shadow;
|
| - std::array<float, kBlockSize> x_old;
|
| - std::array<float, kBlockSize> y;
|
| - std::vector<float> x(kBlockSize, 0.f);
|
| - FftData X;
|
| - FftData Y;
|
| - x_old.fill(0.f);
|
| -
|
| - FftBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
|
| - std::vector<size_t>(1, model.MinFarendBufferLength()));
|
| -
|
| - for (size_t delay_samples : {0, 64, 301}) {
|
| - DelayBuffer<float> delay_buffer(delay_samples);
|
| - auto model_applier = [&](int num_iterations, float y_scale,
|
| - bool known_delay) {
|
| - for (int k = 0; k < num_iterations; ++k) {
|
| - RandomizeSampleVector(&random_generator, x);
|
| - delay_buffer.Delay(x, y);
|
| - std::for_each(y.begin(), y.end(), [&](float& a) { a *= y_scale; });
|
| -
|
| - fft.PaddedFft(x, x_old, &X);
|
| - X_buffer.Insert(X);
|
| -
|
| - fft.ZeroPaddedFft(y, &Y);
|
| - Y.Spectrum(Aec3Optimization::kNone, &Y2);
|
| -
|
| - aec_state.Update(std::vector<std::array<float, kFftLengthBy2Plus1>>(
|
| - 10, std::array<float, kFftLengthBy2Plus1>()),
|
| - known_delay ? rtc::Optional<size_t>(delay_samples)
|
| - : rtc::Optional<size_t>(),
|
| - X_buffer, E2_main, E2_shadow, Y2, x,
|
| - EchoPathVariability(false, false), false);
|
| -
|
| - model.EstimateEcho(X_buffer, Y2, aec_state, &S2);
|
| - }
|
| - };
|
| -
|
| - for (int j = 0; j < 2; ++j) {
|
| - bool known_delay = j == 0;
|
| - SCOPED_TRACE(ProduceDebugText(delay_samples, known_delay));
|
| - // Verify that the echo path estimates converges downwards to a fairly
|
| - // tight bound estimate.
|
| - model_applier(600, 1.f, known_delay);
|
| - for (size_t k = 1; k < S2.size() - 1; ++k) {
|
| - EXPECT_LE(Y2[k], 2.f * S2[k]);
|
| - }
|
| -
|
| - // Verify that stronger echo paths are detected immediately.
|
| - model_applier(100, 10.f, known_delay);
|
| - for (size_t k = 1; k < S2.size() - 1; ++k) {
|
| - EXPECT_LE(Y2[k], 5.f * S2[k]);
|
| - }
|
| -
|
| - // Verify that there is a delay until a weaker echo path is detected.
|
| - model_applier(50, 100.f, known_delay);
|
| - model_applier(50, 1.f, known_delay);
|
| - for (size_t k = 1; k < S2.size() - 1; ++k) {
|
| - EXPECT_LE(100.f * Y2[k], S2[k]);
|
| - }
|
| -
|
| - // Verify that an echo path change causes the echo path estimate to be
|
| - // reset.
|
| - model_applier(600, 0.1f, known_delay);
|
| - model.HandleEchoPathChange(EchoPathVariability(true, false));
|
| - model_applier(50, 0.1f, known_delay);
|
| - for (size_t k = 1; k < S2.size() - 1; ++k) {
|
| - EXPECT_LE(10.f * Y2[k], S2[k]);
|
| - }
|
| - }
|
| - }
|
| -}
|
|
|
| } // namespace webrtc
|
|
|