| /* |
| * 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/vad_wrapper.h" |
| |
| #include <limits> |
| #include <memory> |
| #include <tuple> |
| #include <utility> |
| #include <vector> |
| |
| #include "modules/audio_processing/agc2/agc2_common.h" |
| #include "modules/audio_processing/include/audio_frame_view.h" |
| #include "rtc_base/gunit.h" |
| #include "rtc_base/numerics/safe_compare.h" |
| #include "test/gmock.h" |
| |
| namespace webrtc { |
| namespace { |
| |
| using ::testing::AnyNumber; |
| using ::testing::ReturnRoundRobin; |
| |
| constexpr int kNoVadPeriodicReset = |
| kFrameDurationMs * (std::numeric_limits<int>::max() / kFrameDurationMs); |
| |
| constexpr int kSampleRateHz = 8000; |
| |
| class MockVad : public VadLevelAnalyzer::VoiceActivityDetector { |
| public: |
| MOCK_METHOD(void, Reset, (), (override)); |
| MOCK_METHOD(float, |
| ComputeProbability, |
| (AudioFrameView<const float> frame), |
| (override)); |
| }; |
| |
| // Creates a `VadLevelAnalyzer` injecting a mock VAD which repeatedly returns |
| // the next value from `speech_probabilities` until it reaches the end and will |
| // restart from the beginning. |
| std::unique_ptr<VadLevelAnalyzer> CreateVadLevelAnalyzerWithMockVad( |
| int vad_reset_period_ms, |
| const std::vector<float>& speech_probabilities, |
| int expected_vad_reset_calls = 0) { |
| auto vad = std::make_unique<MockVad>(); |
| EXPECT_CALL(*vad, ComputeProbability) |
| .Times(AnyNumber()) |
| .WillRepeatedly(ReturnRoundRobin(speech_probabilities)); |
| if (expected_vad_reset_calls >= 0) { |
| EXPECT_CALL(*vad, Reset).Times(expected_vad_reset_calls); |
| } |
| return std::make_unique<VadLevelAnalyzer>(vad_reset_period_ms, |
| std::move(vad)); |
| } |
| |
| // 10 ms mono frame. |
| struct FrameWithView { |
| // Ctor. Initializes the frame samples with `value`. |
| explicit FrameWithView(float value = 0.0f) |
| : channel0(samples.data()), |
| view(&channel0, /*num_channels=*/1, samples.size()) { |
| samples.fill(value); |
| } |
| std::array<float, kSampleRateHz / 100> samples; |
| const float* const channel0; |
| const AudioFrameView<const float> view; |
| }; |
| |
| TEST(GainController2VadLevelAnalyzer, RmsLessThanPeakLevel) { |
| auto analyzer = CreateVadLevelAnalyzerWithMockVad( |
| /*vad_reset_period_ms=*/1500, |
| /*speech_probabilities=*/{1.0f}, |
| /*expected_vad_reset_calls=*/0); |
| // Handcrafted frame so that the average is lower than the peak value. |
| FrameWithView frame(1000.0f); // Constant frame. |
| frame.samples[10] = 2000.0f; // Except for one peak value. |
| // Compute audio frame levels. |
| auto levels_and_vad_prob = analyzer->AnalyzeFrame(frame.view); |
| EXPECT_LT(levels_and_vad_prob.rms_dbfs, levels_and_vad_prob.peak_dbfs); |
| } |
| |
| // Checks that the expect VAD probabilities are returned. |
| TEST(GainController2VadLevelAnalyzer, NoSpeechProbabilitySmoothing) { |
| const std::vector<float> speech_probabilities{0.709f, 0.484f, 0.882f, 0.167f, |
| 0.44f, 0.525f, 0.858f, 0.314f, |
| 0.653f, 0.965f, 0.413f, 0.0f}; |
| auto analyzer = CreateVadLevelAnalyzerWithMockVad(kNoVadPeriodicReset, |
| speech_probabilities); |
| FrameWithView frame; |
| for (int i = 0; rtc::SafeLt(i, speech_probabilities.size()); ++i) { |
| SCOPED_TRACE(i); |
| EXPECT_EQ(speech_probabilities[i], |
| analyzer->AnalyzeFrame(frame.view).speech_probability); |
| } |
| } |
| |
| // Checks that the VAD is not periodically reset. |
| TEST(GainController2VadLevelAnalyzer, VadNoPeriodicReset) { |
| constexpr int kNumFrames = 19; |
| auto analyzer = CreateVadLevelAnalyzerWithMockVad( |
| kNoVadPeriodicReset, /*speech_probabilities=*/{1.0f}, |
| /*expected_vad_reset_calls=*/0); |
| FrameWithView frame; |
| for (int i = 0; i < kNumFrames; ++i) { |
| analyzer->AnalyzeFrame(frame.view); |
| } |
| } |
| |
| class VadPeriodResetParametrization |
| : public ::testing::TestWithParam<std::tuple<int, int>> { |
| protected: |
| int num_frames() const { return std::get<0>(GetParam()); } |
| int vad_reset_period_frames() const { return std::get<1>(GetParam()); } |
| }; |
| |
| // Checks that the VAD is periodically reset with the expected period. |
| TEST_P(VadPeriodResetParametrization, VadPeriodicReset) { |
| auto analyzer = CreateVadLevelAnalyzerWithMockVad( |
| /*vad_reset_period_ms=*/vad_reset_period_frames() * kFrameDurationMs, |
| /*speech_probabilities=*/{1.0f}, |
| /*expected_vad_reset_calls=*/num_frames() / vad_reset_period_frames()); |
| FrameWithView frame; |
| for (int i = 0; i < num_frames(); ++i) { |
| analyzer->AnalyzeFrame(frame.view); |
| } |
| } |
| |
| INSTANTIATE_TEST_SUITE_P(GainController2VadLevelAnalyzer, |
| VadPeriodResetParametrization, |
| ::testing::Combine(::testing::Values(1, 19, 123), |
| ::testing::Values(2, 5, 20, 53))); |
| |
| } // namespace |
| } // namespace webrtc |