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Add the option to run the adaptive digital controller of AGC2 without side-effects - i.e., no gain applied. Tested: adapation verified during a video call in chromium Bug: webrtc:7494 Change-Id: I4776f6012907d76a17a3bca89991da97dc38657f Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/215964 Commit-Queue: Alessio Bazzica <alessiob@webrtc.org> Reviewed-by: Per Åhgren <peah@webrtc.org> Cr-Commit-Position: refs/heads/master@{#33875}
139 lines
5.1 KiB
C++
139 lines
5.1 KiB
C++
/*
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* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "modules/audio_processing/agc2/vad_with_level.h"
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#include <limits>
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#include <memory>
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#include <vector>
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#include "modules/audio_processing/agc2/agc2_common.h"
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#include "modules/audio_processing/include/audio_frame_view.h"
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#include "rtc_base/gunit.h"
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#include "rtc_base/numerics/safe_compare.h"
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#include "test/gmock.h"
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namespace webrtc {
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namespace {
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using ::testing::AnyNumber;
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using ::testing::ReturnRoundRobin;
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constexpr int kNoVadPeriodicReset =
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kFrameDurationMs * (std::numeric_limits<int>::max() / kFrameDurationMs);
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constexpr int kSampleRateHz = 8000;
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class MockVad : public VadLevelAnalyzer::VoiceActivityDetector {
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public:
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MOCK_METHOD(void, Reset, (), (override));
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MOCK_METHOD(float,
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ComputeProbability,
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(AudioFrameView<const float> frame),
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(override));
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};
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// Creates a `VadLevelAnalyzer` injecting a mock VAD which repeatedly returns
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// the next value from `speech_probabilities` until it reaches the end and will
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// restart from the beginning.
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std::unique_ptr<VadLevelAnalyzer> CreateVadLevelAnalyzerWithMockVad(
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int vad_reset_period_ms,
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const std::vector<float>& speech_probabilities,
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int expected_vad_reset_calls = 0) {
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auto vad = std::make_unique<MockVad>();
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EXPECT_CALL(*vad, ComputeProbability)
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.Times(AnyNumber())
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.WillRepeatedly(ReturnRoundRobin(speech_probabilities));
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if (expected_vad_reset_calls >= 0) {
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EXPECT_CALL(*vad, Reset).Times(expected_vad_reset_calls);
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}
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return std::make_unique<VadLevelAnalyzer>(vad_reset_period_ms,
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std::move(vad));
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}
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// 10 ms mono frame.
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struct FrameWithView {
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// Ctor. Initializes the frame samples with `value`.
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FrameWithView(float value = 0.0f)
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: channel0(samples.data()),
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view(&channel0, /*num_channels=*/1, samples.size()) {
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samples.fill(value);
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}
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std::array<float, kSampleRateHz / 100> samples;
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const float* const channel0;
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const AudioFrameView<const float> view;
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};
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TEST(GainController2VadLevelAnalyzer, RmsLessThanPeakLevel) {
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auto analyzer = CreateVadLevelAnalyzerWithMockVad(
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/*vad_reset_period_ms=*/1500,
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/*speech_probabilities=*/{1.0f},
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/*expected_vad_reset_calls=*/0);
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// Handcrafted frame so that the average is lower than the peak value.
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FrameWithView frame(1000.0f); // Constant frame.
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frame.samples[10] = 2000.0f; // Except for one peak value.
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// Compute audio frame levels.
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auto levels_and_vad_prob = analyzer->AnalyzeFrame(frame.view);
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EXPECT_LT(levels_and_vad_prob.rms_dbfs, levels_and_vad_prob.peak_dbfs);
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}
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// Checks that the expect VAD probabilities are returned.
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TEST(GainController2VadLevelAnalyzer, NoSpeechProbabilitySmoothing) {
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const std::vector<float> speech_probabilities{0.709f, 0.484f, 0.882f, 0.167f,
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0.44f, 0.525f, 0.858f, 0.314f,
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0.653f, 0.965f, 0.413f, 0.0f};
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auto analyzer = CreateVadLevelAnalyzerWithMockVad(kNoVadPeriodicReset,
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speech_probabilities);
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FrameWithView frame;
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for (int i = 0; rtc::SafeLt(i, speech_probabilities.size()); ++i) {
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SCOPED_TRACE(i);
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EXPECT_EQ(speech_probabilities[i],
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analyzer->AnalyzeFrame(frame.view).speech_probability);
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}
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}
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// Checks that the VAD is not periodically reset.
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TEST(GainController2VadLevelAnalyzer, VadNoPeriodicReset) {
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constexpr int kNumFrames = 19;
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auto analyzer = CreateVadLevelAnalyzerWithMockVad(
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kNoVadPeriodicReset, /*speech_probabilities=*/{1.0f},
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/*expected_vad_reset_calls=*/0);
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FrameWithView frame;
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for (int i = 0; i < kNumFrames; ++i) {
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analyzer->AnalyzeFrame(frame.view);
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}
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}
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class VadPeriodResetParametrization
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: public ::testing::TestWithParam<std::tuple<int, int>> {
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protected:
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int num_frames() const { return std::get<0>(GetParam()); }
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int vad_reset_period_frames() const { return std::get<1>(GetParam()); }
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};
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// Checks that the VAD is periodically reset with the expected period.
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TEST_P(VadPeriodResetParametrization, VadPeriodicReset) {
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auto analyzer = CreateVadLevelAnalyzerWithMockVad(
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/*vad_reset_period_ms=*/vad_reset_period_frames() * kFrameDurationMs,
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/*speech_probabilities=*/{1.0f},
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/*expected_vad_reset_calls=*/num_frames() / vad_reset_period_frames());
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FrameWithView frame;
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for (int i = 0; i < num_frames(); ++i) {
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analyzer->AnalyzeFrame(frame.view);
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}
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}
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INSTANTIATE_TEST_SUITE_P(GainController2VadLevelAnalyzer,
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VadPeriodResetParametrization,
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::testing::Combine(::testing::Values(1, 19, 123),
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::testing::Values(2, 5, 20, 53)));
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} // namespace
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} // namespace webrtc
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