| /* |
| * Copyright (c) 2018 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/agc2/fixed_digital_level_estimator.h" |
| |
| #include <limits> |
| |
| #include "api/audio/audio_frame.h" |
| #include "common_audio/include/audio_util.h" |
| #include "modules/audio_processing/agc2/agc2_common.h" |
| #include "modules/audio_processing/agc2/agc2_testing_common.h" |
| #include "modules/audio_processing/agc2/vector_float_frame.h" |
| #include "modules/audio_processing/logging/apm_data_dumper.h" |
| #include "rtc_base/gunit.h" |
| |
| namespace webrtc { |
| namespace { |
| |
| constexpr float kInputLevel = 10000.f; |
| |
| // Run audio at specified settings through the level estimator, and |
| // verify that the output level falls within the bounds. |
| void TestLevelEstimator(size_t samples_per_channel, |
| int num_channels, |
| float input_level_linear_scale, |
| float expected_min, |
| float expected_max) { |
| ApmDataDumper apm_data_dumper(0); |
| FixedDigitalLevelEstimator level_estimator(samples_per_channel, |
| &apm_data_dumper); |
| |
| const VectorFloatFrame vectors_with_float_frame( |
| num_channels, samples_per_channel, input_level_linear_scale); |
| |
| for (int i = 0; i < 500; ++i) { |
| const auto level = |
| level_estimator.ComputeLevel(vectors_with_float_frame.view()); |
| |
| // Give the estimator some time to ramp up. |
| if (i < 50) { |
| continue; |
| } |
| |
| for (const auto& x : level) { |
| EXPECT_LE(expected_min, x); |
| EXPECT_LE(x, expected_max); |
| } |
| } |
| } |
| |
| // Returns time it takes for the level estimator to decrease its level |
| // estimate by 'level_reduction_db'. |
| float TimeMsToDecreaseLevel(size_t samples_per_channel, |
| int num_channels, |
| float input_level_db, |
| float level_reduction_db) { |
| const float input_level = DbfsToFloatS16(input_level_db); |
| RTC_DCHECK_GT(level_reduction_db, 0); |
| |
| const VectorFloatFrame vectors_with_float_frame( |
| num_channels, samples_per_channel, input_level); |
| |
| ApmDataDumper apm_data_dumper(0); |
| FixedDigitalLevelEstimator level_estimator(samples_per_channel, |
| &apm_data_dumper); |
| |
| // Give the LevelEstimator plenty of time to ramp up and stabilize |
| float last_level = 0.f; |
| for (int i = 0; i < 500; ++i) { |
| const auto level_envelope = |
| level_estimator.ComputeLevel(vectors_with_float_frame.view()); |
| last_level = *level_envelope.rbegin(); |
| } |
| |
| // Set input to 0. |
| VectorFloatFrame vectors_with_zero_float_frame(num_channels, |
| samples_per_channel, 0); |
| |
| const float reduced_level_linear = |
| DbfsToFloatS16(input_level_db - level_reduction_db); |
| int sub_frames_until_level_reduction = 0; |
| while (last_level > reduced_level_linear) { |
| const auto level_envelope = |
| level_estimator.ComputeLevel(vectors_with_zero_float_frame.view()); |
| for (const auto& v : level_envelope) { |
| EXPECT_LT(v, last_level); |
| sub_frames_until_level_reduction++; |
| last_level = v; |
| if (last_level <= reduced_level_linear) { |
| break; |
| } |
| } |
| } |
| return static_cast<float>(sub_frames_until_level_reduction) * |
| kFrameDurationMs / kSubFramesInFrame; |
| } |
| } // namespace |
| |
| TEST(GainController2FixedDigitalLevelEstimator, EstimatorShouldNotCrash) { |
| TestLevelEstimator(SampleRateToDefaultChannelSize(8000u), 1, 0, |
| std::numeric_limits<float>::lowest(), |
| std::numeric_limits<float>::max()); |
| } |
| |
| TEST(GainController2FixedDigitalLevelEstimator, |
| EstimatorShouldEstimateConstantLevel) { |
| TestLevelEstimator(SampleRateToDefaultChannelSize(10000u), 1, kInputLevel, |
| kInputLevel * 0.99, kInputLevel * 1.01); |
| } |
| |
| TEST(GainController2FixedDigitalLevelEstimator, |
| EstimatorShouldEstimateConstantLevelForManyChannels) { |
| constexpr size_t num_channels = 10; |
| TestLevelEstimator(SampleRateToDefaultChannelSize(20000u), num_channels, |
| kInputLevel, kInputLevel * 0.99, kInputLevel * 1.01); |
| } |
| |
| TEST(GainController2FixedDigitalLevelEstimator, TimeToDecreaseForLowLevel) { |
| constexpr float kLevelReductionDb = 25; |
| constexpr float kInitialLowLevel = -40; |
| constexpr float kExpectedTime = kLevelReductionDb * test::kDecayMs; |
| |
| const float time_to_decrease = |
| TimeMsToDecreaseLevel(SampleRateToDefaultChannelSize(22000u), 1, |
| kInitialLowLevel, kLevelReductionDb); |
| |
| EXPECT_LE(kExpectedTime * 0.9, time_to_decrease); |
| EXPECT_LE(time_to_decrease, kExpectedTime * 1.1); |
| } |
| |
| TEST(GainController2FixedDigitalLevelEstimator, |
| TimeToDecreaseForFullScaleLevel) { |
| constexpr float kLevelReductionDb = 25; |
| constexpr float kExpectedTime = kLevelReductionDb * test::kDecayMs; |
| |
| const float time_to_decrease = TimeMsToDecreaseLevel( |
| SampleRateToDefaultChannelSize(26000u), 1, 0, kLevelReductionDb); |
| |
| EXPECT_LE(kExpectedTime * 0.9, time_to_decrease); |
| EXPECT_LE(time_to_decrease, kExpectedTime * 1.1); |
| } |
| |
| TEST(GainController2FixedDigitalLevelEstimator, |
| TimeToDecreaseForMultipleChannels) { |
| constexpr float kLevelReductionDb = 25; |
| constexpr float kExpectedTime = kLevelReductionDb * test::kDecayMs; |
| constexpr size_t kNumChannels = 10; |
| |
| const float time_to_decrease = |
| TimeMsToDecreaseLevel(SampleRateToDefaultChannelSize(28000u), |
| kNumChannels, 0, kLevelReductionDb); |
| |
| EXPECT_LE(kExpectedTime * 0.9, time_to_decrease); |
| EXPECT_LE(time_to_decrease, kExpectedTime * 1.1); |
| } |
| |
| } // namespace webrtc |