| /* | |
| * 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. | |
| */ | |
| #include "modules/audio_processing/rms_level.h" | |
| #include <cmath> | |
| #include <cstddef> | |
| #include <cstdint> | |
| #include <memory> | |
| #include <numbers> | |
| #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(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(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] = saturated_cast<int16_t>( | |
| amplitude * | |
| std::sin(2 * std::numbers::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; | |
| } | |
| } // namespace | |
| 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); // -3 dBFS | |
| 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()); // -3 dBFS | |
| } | |
| TEST(RmsLevelTest, Run1000HzFullScaleAverageAndPeak) { | |
| auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz); | |
| auto level = RunTest(x); | |
| auto stats = level->AverageAndPeak(); | |
| EXPECT_EQ(3, stats.average); // -3 dBFS | |
| 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()); // -9 dBFS | |
| } | |
| TEST(RmsLevelTest, RunZeros) { | |
| std::vector<int16_t> x(kSampleRateHz, 0); // 1 second of pure silence. | |
| auto level = RunTest(x); | |
| EXPECT_EQ(127, level->Average()); | |
| } | |
| TEST(RmsLevelTest, RunZerosAverageAndPeak) { | |
| std::vector<int16_t> x(kSampleRateHz, 0); // 1 second of pure silence. | |
| 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()); // Return minimum if no samples are given. | |
| } | |
| 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()); // Stats should be reset at this point. | |
| } | |
| TEST(RmsLevelTest, Reset) { | |
| auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz); | |
| auto level = RunTest(x); | |
| level->Reset(); | |
| EXPECT_EQ(127, level->Average()); // Stats should be reset at this point. | |
| } | |
| // Inserts 1 second of full-scale sinusoid, followed by 1 second of muted. | |
| TEST(RmsLevelTest, ProcessMuted) { | |
| auto x = CreateInt16Sinusoid(1000, INT16_MAX, kSampleRateHz); | |
| auto level = RunTest(x); | |
| const size_t kBlocksPerSecond = | |
| CheckedDivExact(static_cast<size_t>(kSampleRateHz), kBlockSizeSamples); | |
| for (size_t i = 0; i < kBlocksPerSecond; ++i) { | |
| level->AnalyzeMuted(kBlockSizeSamples); | |
| } | |
| EXPECT_EQ(6, level->Average()); // Average RMS halved due to the silence. | |
| } | |
| // Digital silence must yield 127 and anything else should yield 126 or lower. | |
| TEST(RmsLevelTest, OnlyDigitalSilenceIs127) { | |
| std::vector<int16_t> test_buffer(kSampleRateHz, 0); | |
| auto level = RunTest(test_buffer); | |
| EXPECT_EQ(127, level->Average()); | |
| // Change one sample to something other than 0 to make the buffer not strictly | |
| // represent digital silence. | |
| test_buffer[0] = 1; | |
| level = RunTest(test_buffer); | |
| EXPECT_LT(level->Average(), 127); | |
| } | |
| // Inserts 1 second of half-scale sinusoid, follwed by 10 ms of full-scale, and | |
| // finally 1 second of half-scale again. Expect the average to be -9 dBFS due | |
| // to the vast majority of the signal being half-scale, and the peak to be | |
| // -3 dBFS. | |
| 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); | |
| // Create a new signal with half amplitude, but double block length. | |
| auto y = CreateInt16Sinusoid(1000, INT16_MAX / 2, kBlockSizeSamples * 2); | |
| level->Analyze(y); | |
| auto stats = level->AverageAndPeak(); | |
| // Expect all stats to only be influenced by the last signal (y), since the | |
| // changed block size should reset the stats. | |
| EXPECT_EQ(9, stats.average); | |
| EXPECT_EQ(9, stats.peak); | |
| } | |
| } // namespace webrtc |