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 45f338c642540acaabf8fb96652b55c28f51cce0..cc9aa128b28f1a17f9d39ee4d7465b289c251aad 100644 |
--- a/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc |
+++ b/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc |
@@ -202,7 +202,7 @@ static_assert(arraysize(kTestCenterFreqs) == |
const float kMaxTestError = 0.005f; |
// Enhancer initialization parameters. |
-const int kSamples = 1000; |
+const int kSamples = 10000; |
const int kSampleRate = 4000; |
const int kNumChannels = 1; |
const int kFragmentSize = kSampleRate / 100; |
@@ -229,9 +229,7 @@ void ProcessOneFrame(int sample_rate_hz, |
} |
intelligibility_enhancer->ProcessRenderAudio( |
- render_audio_buffer->split_channels_f(kBand0To8kHz), |
- IntelligibilityEnhancerSampleRate(sample_rate_hz), |
- render_audio_buffer->num_channels()); |
+ render_audio_buffer, IntelligibilityEnhancerSampleRate(sample_rate_hz)); |
noise_suppressor->AnalyzeCaptureAudio(capture_audio_buffer); |
noise_suppressor->ProcessCaptureAudio(capture_audio_buffer); |
@@ -320,7 +318,15 @@ float float_rand() { |
class IntelligibilityEnhancerTest : public ::testing::Test { |
protected: |
IntelligibilityEnhancerTest() |
- : clear_data_(kSamples), noise_data_(kSamples), orig_data_(kSamples) { |
+ : clear_buffer_(kFragmentSize, |
+ kNumChannels, |
+ kFragmentSize, |
+ kNumChannels, |
+ kFragmentSize), |
+ stream_config_(kSampleRate, kNumChannels), |
+ clear_data_(kSamples), |
+ noise_data_(kNumNoiseBins), |
+ orig_data_(kSamples) { |
std::srand(1); |
enh_.reset( |
new IntelligibilityEnhancer(kSampleRate, kNumChannels, kNumNoiseBins)); |
@@ -330,11 +336,12 @@ class IntelligibilityEnhancerTest : public ::testing::Test { |
enh_.reset( |
new IntelligibilityEnhancer(kSampleRate, kNumChannels, kNumNoiseBins)); |
float* clear_cursor = clear_data_.data(); |
- float* noise_cursor = noise_data_.data(); |
for (int i = 0; i < kSamples; i += kFragmentSize) { |
- enh_->ProcessRenderAudio(&clear_cursor, kSampleRate, kNumChannels); |
+ enh_->SetCaptureNoiseEstimate(noise_data_, 1); |
+ clear_buffer_.CopyFrom(&clear_cursor, stream_config_); |
+ enh_->ProcessRenderAudio(&clear_buffer_, kSampleRate); |
+ clear_buffer_.CopyTo(stream_config_, &clear_cursor); |
clear_cursor += kFragmentSize; |
- noise_cursor += kFragmentSize; |
} |
for (int i = 0; i < kSamples; i++) { |
if (std::fabs(clear_data_[i] - orig_data_[i]) > kMaxTestError) { |
@@ -345,6 +352,8 @@ class IntelligibilityEnhancerTest : public ::testing::Test { |
} |
std::unique_ptr<IntelligibilityEnhancer> enh_; |
+ AudioBuffer clear_buffer_; |
+ StreamConfig stream_config_; |
std::vector<float> clear_data_; |
std::vector<float> noise_data_; |
std::vector<float> orig_data_; |
@@ -357,10 +366,11 @@ TEST_F(IntelligibilityEnhancerTest, TestRenderUpdate) { |
std::fill(orig_data_.begin(), orig_data_.end(), 0.f); |
std::fill(clear_data_.begin(), clear_data_.end(), 0.f); |
EXPECT_FALSE(CheckUpdate()); |
- std::generate(noise_data_.begin(), noise_data_.end(), float_rand); |
- EXPECT_FALSE(CheckUpdate()); |
std::generate(clear_data_.begin(), clear_data_.end(), float_rand); |
orig_data_ = clear_data_; |
+ EXPECT_FALSE(CheckUpdate()); |
+ std::generate(noise_data_.begin(), noise_data_.end(), float_rand); |
+ FloatToFloatS16(noise_data_.data(), noise_data_.size(), noise_data_.data()); |
EXPECT_TRUE(CheckUpdate()); |
} |
@@ -418,7 +428,8 @@ TEST_F(IntelligibilityEnhancerTest, TestNoiseGainHasExpectedResult) { |
float* clear_cursor = clear_data_.data(); |
for (size_t i = 0; i < kNumFramesToProcess; ++i) { |
enh_->SetCaptureNoiseEstimate(noise, kGain); |
- enh_->ProcessRenderAudio(&clear_cursor, kSampleRate, kNumChannels); |
+ clear_buffer_.CopyFrom(&clear_cursor, stream_config_); |
+ enh_->ProcessRenderAudio(&clear_buffer_, kSampleRate); |
} |
const std::vector<float>& estimated_psd = |
enh_->noise_power_estimator_.power(); |