| Index: webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
|
| diff --git a/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc b/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
|
| index 436d174775922c95a059b9dc13b7fe9ae6d8a01b..0d15406017b9537d10d89a7bcdf7ddb596d1b4a8 100644
|
| --- a/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
|
| +++ b/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
|
| @@ -8,10 +8,6 @@
|
| * be found in the AUTHORS file in the root of the source tree.
|
| */
|
|
|
| -//
|
| -// Unit tests for intelligibility enhancer.
|
| -//
|
| -
|
| #include <math.h>
|
| #include <stdlib.h>
|
| #include <algorithm>
|
| @@ -32,28 +28,29 @@ const float kTestCenterFreqs[] = {
|
| 13.169f, 26.965f, 41.423f, 56.577f, 72.461f, 89.113f, 106.57f, 124.88f,
|
| 144.08f, 164.21f, 185.34f, 207.5f, 230.75f, 255.16f, 280.77f, 307.66f,
|
| 335.9f, 365.56f, 396.71f, 429.44f, 463.84f, 500.f};
|
| -const float kTestFilterBank[][2] = {{0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.f},
|
| - {0.055556f, 0.2f},
|
| - {0, 0.2f},
|
| - {0, 0.2f},
|
| - {0, 0.2f},
|
| - {0, 0.2f}};
|
| +const float kTestFilterBank[][9] = {
|
| + {0.2f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.2f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.2f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.2f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.2f, 0.25f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.25f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.25f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.25f, 0.25f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.25f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.25f, 0.142857f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.25f, 0.285714f, 0.f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.285714f, 0.142857f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.285714f, 0.285714f, 0.f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.285714f, 0.142857f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.285714f, 0.285714f, 0.f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.285714f, 0.142857f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.285714f, 0.285714f, 0.f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.285714f, 0.142857f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.285714f, 0.285714f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.285714f, 0.f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.285714f, 0.5f},
|
| + {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.5f}};
|
| static_assert(arraysize(kTestCenterFreqs) == arraysize(kTestFilterBank),
|
| "Test filterbank badly initialized.");
|
|
|
| @@ -63,14 +60,14 @@ const float kTestZeroVar[] = {1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f,
|
| 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, 0.f,
|
| 0.f, 0.f, 0.f, 0.f, 0.f, 0.f};
|
| static_assert(arraysize(kTestCenterFreqs) == arraysize(kTestZeroVar),
|
| - "Variance test data badly initialized.");
|
| + "Power test data badly initialized.");
|
| const float kTestNonZeroVarLambdaTop[] = {
|
| 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f,
|
| 1.f, 1.f, 1.f, 0.f, 0.f, 0.0351f, 0.0636f, 0.0863f,
|
| 0.1037f, 0.1162f, 0.1236f, 0.1251f, 0.1189f, 0.0993f};
|
| static_assert(arraysize(kTestCenterFreqs) ==
|
| arraysize(kTestNonZeroVarLambdaTop),
|
| - "Variance test data badly initialized.");
|
| + "Power test data badly initialized.");
|
| const float kMaxTestError = 0.005f;
|
|
|
| // Enhancer initialization parameters.
|
| @@ -81,9 +78,6 @@ const int kFragmentSize = kSampleRate / 100;
|
|
|
| } // namespace
|
|
|
| -using std::vector;
|
| -using intelligibility::VarianceArray;
|
| -
|
| class IntelligibilityEnhancerTest : public ::testing::Test {
|
| protected:
|
| IntelligibilityEnhancerTest()
|
| @@ -92,9 +86,8 @@ class IntelligibilityEnhancerTest : public ::testing::Test {
|
| enh_.reset(new IntelligibilityEnhancer(config_));
|
| }
|
|
|
| - bool CheckUpdate(VarianceArray::StepType step_type) {
|
| + bool CheckUpdate() {
|
| config_.sample_rate_hz = kSampleRate;
|
| - config_.var_type = step_type;
|
| enh_.reset(new IntelligibilityEnhancer(config_));
|
| float* clear_cursor = &clear_data_[0];
|
| float* noise_cursor = &noise_data_[0];
|
| @@ -113,37 +106,25 @@ class IntelligibilityEnhancerTest : public ::testing::Test {
|
|
|
| IntelligibilityEnhancer::Config config_;
|
| rtc::scoped_ptr<IntelligibilityEnhancer> enh_;
|
| - vector<float> clear_data_;
|
| - vector<float> noise_data_;
|
| - vector<float> orig_data_;
|
| + std::vector<float> clear_data_;
|
| + std::vector<float> noise_data_;
|
| + std::vector<float> orig_data_;
|
| };
|
|
|
| -// For each class of generated data, tests that render stream is
|
| -// updated when it should be for each variance update method.
|
| +// For each class of generated data, tests that render stream is updated when
|
| +// it should be.
|
| TEST_F(IntelligibilityEnhancerTest, TestRenderUpdate) {
|
| - vector<VarianceArray::StepType> step_types;
|
| - step_types.push_back(VarianceArray::kStepInfinite);
|
| - step_types.push_back(VarianceArray::kStepDecaying);
|
| - step_types.push_back(VarianceArray::kStepWindowed);
|
| - step_types.push_back(VarianceArray::kStepBlocked);
|
| - step_types.push_back(VarianceArray::kStepBlockBasedMovingAverage);
|
| std::fill(noise_data_.begin(), noise_data_.end(), 0.0f);
|
| std::fill(orig_data_.begin(), orig_data_.end(), 0.0f);
|
| - for (auto step_type : step_types) {
|
| - std::fill(clear_data_.begin(), clear_data_.end(), 0.0f);
|
| - EXPECT_FALSE(CheckUpdate(step_type));
|
| - }
|
| + std::fill(clear_data_.begin(), clear_data_.end(), 0.0f);
|
| + EXPECT_FALSE(CheckUpdate());
|
| std::srand(1);
|
| auto float_rand = []() { return std::rand() * 2.f / RAND_MAX - 1; };
|
| std::generate(noise_data_.begin(), noise_data_.end(), float_rand);
|
| - for (auto step_type : step_types) {
|
| - EXPECT_FALSE(CheckUpdate(step_type));
|
| - }
|
| - for (auto step_type : step_types) {
|
| - std::generate(clear_data_.begin(), clear_data_.end(), float_rand);
|
| - orig_data_ = clear_data_;
|
| - EXPECT_TRUE(CheckUpdate(step_type));
|
| - }
|
| + EXPECT_FALSE(CheckUpdate());
|
| + std::generate(clear_data_.begin(), clear_data_.end(), float_rand);
|
| + orig_data_ = clear_data_;
|
| + EXPECT_TRUE(CheckUpdate());
|
| }
|
|
|
| // Tests ERB bank creation, comparing against matlab output.
|
| @@ -163,11 +144,11 @@ TEST_F(IntelligibilityEnhancerTest, TestErbCreation) {
|
| // against matlab output.
|
| TEST_F(IntelligibilityEnhancerTest, TestSolveForGains) {
|
| ASSERT_EQ(kTestStartFreq, enh_->start_freq_);
|
| - vector<float> sols(enh_->bank_size_);
|
| + std::vector<float> sols(enh_->bank_size_);
|
| float lambda = -0.001f;
|
| for (size_t i = 0; i < enh_->bank_size_; i++) {
|
| - enh_->filtered_clear_var_[i] = 0.0f;
|
| - enh_->filtered_noise_var_[i] = 0.0f;
|
| + enh_->filtered_clear_pow_[i] = 0.0f;
|
| + enh_->filtered_noise_pow_[i] = 0.0f;
|
| enh_->rho_[i] = 0.02f;
|
| }
|
| enh_->SolveForGainsGivenLambda(lambda, enh_->start_freq_, &sols[0]);
|
| @@ -175,8 +156,8 @@ TEST_F(IntelligibilityEnhancerTest, TestSolveForGains) {
|
| EXPECT_NEAR(kTestZeroVar[i], sols[i], kMaxTestError);
|
| }
|
| for (size_t i = 0; i < enh_->bank_size_; i++) {
|
| - enh_->filtered_clear_var_[i] = static_cast<float>(i + 1);
|
| - enh_->filtered_noise_var_[i] = static_cast<float>(enh_->bank_size_ - i);
|
| + enh_->filtered_clear_pow_[i] = static_cast<float>(i + 1);
|
| + enh_->filtered_noise_pow_[i] = static_cast<float>(enh_->bank_size_ - i);
|
| }
|
| enh_->SolveForGainsGivenLambda(lambda, enh_->start_freq_, &sols[0]);
|
| for (size_t i = 0; i < enh_->bank_size_; i++) {
|
|
|