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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/echo_remover_metrics.h"
#include <math.h>
#include <cmath>
#include "api/environment/environment_factory.h"
#include "modules/audio_processing/aec3/aec3_fft.h"
#include "modules/audio_processing/aec3/aec_state.h"
#include "test/gtest.h"
namespace webrtc {
#if RTC_DCHECK_IS_ON && GTEST_HAS_DEATH_TEST && !defined(WEBRTC_ANDROID)
// Verifies the check for non-null input.
TEST(UpdateDbMetricDeathTest, NullValue) {
std::array<float, kFftLengthBy2Plus1> value;
value.fill(0.f);
EXPECT_DEATH(aec3::UpdateDbMetric(value, nullptr), "");
}
#endif
// Verifies the updating functionality of UpdateDbMetric.
TEST(UpdateDbMetric, Updating) {
std::array<float, kFftLengthBy2Plus1> value;
std::array<EchoRemoverMetrics::DbMetric, 2> statistic;
statistic.fill(EchoRemoverMetrics::DbMetric(0.f, 100.f, -100.f));
constexpr float kValue0 = 10.f;
constexpr float kValue1 = 20.f;
std::fill(value.begin(), value.begin() + 32, kValue0);
std::fill(value.begin() + 32, value.begin() + 64, kValue1);
aec3::UpdateDbMetric(value, &statistic);
EXPECT_FLOAT_EQ(kValue0, statistic[0].sum_value);
EXPECT_FLOAT_EQ(kValue0, statistic[0].ceil_value);
EXPECT_FLOAT_EQ(kValue0, statistic[0].floor_value);
EXPECT_FLOAT_EQ(kValue1, statistic[1].sum_value);
EXPECT_FLOAT_EQ(kValue1, statistic[1].ceil_value);
EXPECT_FLOAT_EQ(kValue1, statistic[1].floor_value);
aec3::UpdateDbMetric(value, &statistic);
EXPECT_FLOAT_EQ(2.f * kValue0, statistic[0].sum_value);
EXPECT_FLOAT_EQ(kValue0, statistic[0].ceil_value);
EXPECT_FLOAT_EQ(kValue0, statistic[0].floor_value);
EXPECT_FLOAT_EQ(2.f * kValue1, statistic[1].sum_value);
EXPECT_FLOAT_EQ(kValue1, statistic[1].ceil_value);
EXPECT_FLOAT_EQ(kValue1, statistic[1].floor_value);
}
// Verifies that the TransformDbMetricForReporting method produces the desired
// output for values for dBFS.
TEST(TransformDbMetricForReporting, DbFsScaling) {
std::array<float, kBlockSize> x;
FftData X;
std::array<float, kFftLengthBy2Plus1> X2;
Aec3Fft fft;
x.fill(1000.f);
fft.ZeroPaddedFft(x, Aec3Fft::Window::kRectangular, &X);
X.Spectrum(Aec3Optimization::kNone, X2);
float offset = -10.f * std::log10(32768.f * 32768.f);
EXPECT_NEAR(offset, -90.3f, 0.1f);
EXPECT_EQ(
static_cast<int>(30.3f),
aec3::TransformDbMetricForReporting(
true, 0.f, 90.f, offset, 1.f / (kBlockSize * kBlockSize), X2[0]));
}
// Verifies that the TransformDbMetricForReporting method is able to properly
// limit the output.
TEST(TransformDbMetricForReporting, Limits) {
EXPECT_EQ(0, aec3::TransformDbMetricForReporting(false, 0.f, 10.f, 0.f, 1.f,
0.001f));
EXPECT_EQ(10, aec3::TransformDbMetricForReporting(false, 0.f, 10.f, 0.f, 1.f,
100.f));
}
// Verifies that the TransformDbMetricForReporting method is able to properly
// negate output.
TEST(TransformDbMetricForReporting, Negate) {
EXPECT_EQ(10, aec3::TransformDbMetricForReporting(true, -20.f, 20.f, 0.f, 1.f,
0.1f));
EXPECT_EQ(-10, aec3::TransformDbMetricForReporting(true, -20.f, 20.f, 0.f,
1.f, 10.f));
}
// Verify the Update functionality of DbMetric.
TEST(DbMetric, Update) {
EchoRemoverMetrics::DbMetric metric(0.f, 20.f, -20.f);
constexpr int kNumValues = 100;
constexpr float kValue = 10.f;
for (int k = 0; k < kNumValues; ++k) {
metric.Update(kValue);
}
EXPECT_FLOAT_EQ(kValue * kNumValues, metric.sum_value);
EXPECT_FLOAT_EQ(kValue, metric.ceil_value);
EXPECT_FLOAT_EQ(kValue, metric.floor_value);
}
// Verify the Update functionality of DbMetric.
TEST(DbMetric, UpdateInstant) {
EchoRemoverMetrics::DbMetric metric(0.f, 20.f, -20.f);
constexpr float kMinValue = -77.f;
constexpr float kMaxValue = 33.f;
constexpr float kLastValue = (kMinValue + kMaxValue) / 2.0f;
for (float value = kMinValue; value <= kMaxValue; value++)
metric.UpdateInstant(value);
metric.UpdateInstant(kLastValue);
EXPECT_FLOAT_EQ(kLastValue, metric.sum_value);
EXPECT_FLOAT_EQ(kMaxValue, metric.ceil_value);
EXPECT_FLOAT_EQ(kMinValue, metric.floor_value);
}
// Verify the constructor functionality of DbMetric.
TEST(DbMetric, Constructor) {
EchoRemoverMetrics::DbMetric metric;
EXPECT_FLOAT_EQ(0.f, metric.sum_value);
EXPECT_FLOAT_EQ(0.f, metric.ceil_value);
EXPECT_FLOAT_EQ(0.f, metric.floor_value);
metric = EchoRemoverMetrics::DbMetric(1.f, 2.f, 3.f);
EXPECT_FLOAT_EQ(1.f, metric.sum_value);
EXPECT_FLOAT_EQ(2.f, metric.floor_value);
EXPECT_FLOAT_EQ(3.f, metric.ceil_value);
}
// Verify the general functionality of EchoRemoverMetrics.
TEST(EchoRemoverMetrics, NormalUsage) {
EchoRemoverMetrics metrics;
AecState aec_state(CreateEnvironment(), EchoCanceller3Config{}, 1);
std::array<float, kFftLengthBy2Plus1> comfort_noise_spectrum;
std::array<float, kFftLengthBy2Plus1> suppressor_gain;
comfort_noise_spectrum.fill(10.f);
suppressor_gain.fill(1.f);
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < kMetricsReportingIntervalBlocks - 1; ++k) {
metrics.Update(aec_state, comfort_noise_spectrum, suppressor_gain);
EXPECT_FALSE(metrics.MetricsReported());
}
metrics.Update(aec_state, comfort_noise_spectrum, suppressor_gain);
EXPECT_TRUE(metrics.MetricsReported());
}
}
} // namespace webrtc
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