* Copyright (c) 2016 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.
*/
#define _USE_MATH_DEFINES
#include "modules/audio_processing/rms_level.h"
#include <cmath>
#include <memory>
#include <vector>
#include "api/array_view.h"
#include "rtc_base/checks.h"
#include "rtc_base/numerics/safe_conversions.h"
#include "test/gtest.h"
namespace webrtc {
namespace {
constexpr int kSampleRateHz = 48000;
constexpr size_t kBlockSizeSamples = kSampleRateHz / 100;
std::unique_ptr<RmsLevel> RunTest(rtc::ArrayView<const int16_t> input) {
std::unique_ptr<RmsLevel> level(new RmsLevel);
for (size_t n = 0; n + kBlockSizeSamples <= input.size();
n += kBlockSizeSamples) {
level->Analyze(input.subview(n, kBlockSizeSamples));
}
return level;
}
std::unique_ptr<RmsLevel> RunTest(rtc::ArrayView<const float> input) {
std::unique_ptr<RmsLevel> level(new RmsLevel);
for (size_t n = 0; n + kBlockSizeSamples <= input.size();
n += kBlockSizeSamples) {
level->Analyze(input.subview(n, kBlockSizeSamples));
}
return level;
}
std::vector<int16_t> CreateInt16Sinusoid(int frequency_hz,
int amplitude,
size_t num_samples) {
std::vector<int16_t> x(num_samples);
for (size_t n = 0; n < num_samples; ++n) {
x[n] = rtc::saturated_cast<int16_t>(
amplitude * std::sin(2 * M_PI * n * frequency_hz / kSampleRateHz));
}
return x;
}
std::vector<float> CreateFloatSinusoid(int frequency_hz,
int amplitude,
size_t num_samples) {
std::vector<int16_t> x16 =
CreateInt16Sinusoid(frequency_hz, amplitude, num_samples);
std::vector<float> x(x16.size());
for (size_t n = 0; n < x.size(); ++n) {
x[n] = x16[n];
}
return x;
}
}
TEST(RmsLevelTest, VerifyIndentityBetweenFloatAndFix) {
auto x_f = CreateFloatSinusoid(1000, INT16_MAX, kSampleRateHz);
auto x_i = CreateFloatSinusoid(1000, INT16_MAX, kSampleRateHz);
auto level_f = RunTest(x_f);
auto level_i = RunTest(x_i);
int avg_i = level_i->Average();
int avg_f = level_f->Average();
EXPECT_EQ(3, avg_i);
EXPECT_EQ(avg_f, avg_i);
}
TEST(RmsLevelTest, Run1000HzFullScale) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz);
auto level = RunTest(x);
EXPECT_EQ(3, level->Average());
}
TEST(RmsLevelTest, Run1000HzFullScaleAverageAndPeak) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz);
auto level = RunTest(x);
auto stats = level->AverageAndPeak();
EXPECT_EQ(3, stats.average);
EXPECT_EQ(3, stats.peak);
}
TEST(RmsLevelTest, Run1000HzHalfScale) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX / 2, kSampleRateHz);
auto level = RunTest(x);
EXPECT_EQ(9, level->Average());
}
TEST(RmsLevelTest, RunZeros) {
std::vector<int16_t> x(kSampleRateHz, 0);
auto level = RunTest(x);
EXPECT_EQ(127, level->Average());
}
TEST(RmsLevelTest, RunZerosAverageAndPeak) {
std::vector<int16_t> x(kSampleRateHz, 0);
auto level = RunTest(x);
auto stats = level->AverageAndPeak();
EXPECT_EQ(127, stats.average);
EXPECT_EQ(127, stats.peak);
}
TEST(RmsLevelTest, NoSamples) {
RmsLevel level;
EXPECT_EQ(127, level.Average());
}
TEST(RmsLevelTest, NoSamplesAverageAndPeak) {
RmsLevel level;
auto stats = level.AverageAndPeak();
EXPECT_EQ(127, stats.average);
EXPECT_EQ(127, stats.peak);
}
TEST(RmsLevelTest, PollTwice) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz);
auto level = RunTest(x);
level->Average();
EXPECT_EQ(127, level->Average());
}
TEST(RmsLevelTest, Reset) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz);
auto level = RunTest(x);
level->Reset();
EXPECT_EQ(127, level->Average());
}
TEST(RmsLevelTest, ProcessMuted) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz);
auto level = RunTest(x);
const size_t kBlocksPerSecond = rtc::CheckedDivExact(
static_cast<size_t>(kSampleRateHz), kBlockSizeSamples);
for (size_t i = 0; i < kBlocksPerSecond; ++i) {
level->AnalyzeMuted(kBlockSizeSamples);
}
EXPECT_EQ(6, level->Average());
}
TEST(RmsLevelTest, OnlyDigitalSilenceIs127) {
std::vector<int16_t> test_buffer(kSampleRateHz, 0);
auto level = RunTest(test_buffer);
EXPECT_EQ(127, level->Average());
test_buffer[0] = 1;
level = RunTest(test_buffer);
EXPECT_LT(level->Average(), 127);
}
TEST(RmsLevelTest, RunHalfScaleAndInsertFullScale) {
auto half_scale = CreateInt16Sinusoid(1000, INT16_MAX / 2, kSampleRateHz);
auto full_scale = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz / 100);
auto x = half_scale;
x.insert(x.end(), full_scale.begin(), full_scale.end());
x.insert(x.end(), half_scale.begin(), half_scale.end());
ASSERT_EQ(static_cast<size_t>(2 * kSampleRateHz + kSampleRateHz / 100),
x.size());
auto level = RunTest(x);
auto stats = level->AverageAndPeak();
EXPECT_EQ(9, stats.average);
EXPECT_EQ(3, stats.peak);
}
TEST(RmsLevelTest, ResetOnBlockSizeChange) {
auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz);
auto level = RunTest(x);
auto y = CreateInt16Sinusoid(1000, INT16_MAX / 2, kBlockSizeSamples * 2);
level->Analyze(y);
auto stats = level->AverageAndPeak();
EXPECT_EQ(9, stats.average);
EXPECT_EQ(9, stats.peak);
}
}