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/*
* Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "modules/audio_processing/aec3/erl_estimator.h"
#include "rtc_base/strings/string_builder.h"
#include "test/gtest.h"
namespace webrtc {
namespace {
std::string ProduceDebugText(size_t num_render_channels,
size_t num_capture_channels) {
rtc::StringBuilder ss;
ss << "Render channels: " << num_render_channels;
ss << ", Capture channels: " << num_capture_channels;
return ss.Release();
}
void VerifyErl(const std::array<float, kFftLengthBy2Plus1>& erl,
float erl_time_domain,
float reference) {
std::for_each(erl.begin(), erl.end(),
[reference](float a) { EXPECT_NEAR(reference, a, 0.001); });
EXPECT_NEAR(reference, erl_time_domain, 0.001);
}
} // namespace
class ErlEstimatorMultiChannel
: public ::testing::Test,
public ::testing::WithParamInterface<std::tuple<size_t, size_t>> {};
INSTANTIATE_TEST_SUITE_P(MultiChannel,
ErlEstimatorMultiChannel,
::testing::Combine(::testing::Values(1, 2, 8),
::testing::Values(1, 2, 8)));
// Verifies that the correct ERL estimates are achieved.
TEST_P(ErlEstimatorMultiChannel, Estimates) {
const size_t num_render_channels = std::get<0>(GetParam());
const size_t num_capture_channels = std::get<1>(GetParam());
SCOPED_TRACE(ProduceDebugText(num_render_channels, num_capture_channels));
std::vector<std::array<float, kFftLengthBy2Plus1>> X2(num_render_channels);
for (auto& X2_ch : X2) {
X2_ch.fill(0.f);
}
std::vector<std::array<float, kFftLengthBy2Plus1>> Y2(num_capture_channels);
for (auto& Y2_ch : Y2) {
Y2_ch.fill(0.f);
}
std::vector<bool> converged_filters(num_capture_channels, false);
const size_t converged_idx = num_capture_channels - 1;
converged_filters[converged_idx] = true;
ErlEstimator estimator(0);
// Verifies that the ERL estimate is properly reduced to lower values.
for (auto& X2_ch : X2) {
X2_ch.fill(500 * 1000.f * 1000.f);
}
Y2[converged_idx].fill(10 * X2[0][0]);
for (size_t k = 0; k < 200; ++k) {
estimator.Update(converged_filters, X2, Y2);
}
VerifyErl(estimator.Erl(), estimator.ErlTimeDomain(), 10.f);
// Verifies that the ERL is not immediately increased when the ERL in the
// data increases.
Y2[converged_idx].fill(10000 * X2[0][0]);
for (size_t k = 0; k < 998; ++k) {
estimator.Update(converged_filters, X2, Y2);
}
VerifyErl(estimator.Erl(), estimator.ErlTimeDomain(), 10.f);
// Verifies that the rate of increase is 3 dB.
estimator.Update(converged_filters, X2, Y2);
VerifyErl(estimator.Erl(), estimator.ErlTimeDomain(), 20.f);
// Verifies that the maximum ERL is achieved when there are no low RLE
// estimates.
for (size_t k = 0; k < 1000; ++k) {
estimator.Update(converged_filters, X2, Y2);
}
VerifyErl(estimator.Erl(), estimator.ErlTimeDomain(), 1000.f);
// Verifies that the ERL estimate is is not updated for low-level signals
for (auto& X2_ch : X2) {
X2_ch.fill(1000.f * 1000.f);
}
Y2[converged_idx].fill(10 * X2[0][0]);
for (size_t k = 0; k < 200; ++k) {
estimator.Update(converged_filters, X2, Y2);
}
VerifyErl(estimator.Erl(), estimator.ErlTimeDomain(), 1000.f);
}
} // namespace webrtc
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