Only adapt AGC when the desired signal is present

Take the 50% quantile of the mask and compare it to certain threshold to determine if the desired signal is present. A hold is applied to avoid fast switching between states.
is_signal_present_ has been plotted and looks as expected. The AGC adaptation sounds promising, specially for the cases when the speaker fades in and out from the beam direction.

R=andrew@webrtc.org

Review URL: https://webrtc-codereview.appspot.com/28329005

git-svn-id: http://webrtc.googlecode.com/svn/trunk@8078 4adac7df-926f-26a2-2b94-8c16560cd09d
This commit is contained in:
aluebs@webrtc.org 2015-01-15 18:07:21 +00:00
parent 3e42a8a56a
commit d82f55d2a7
10 changed files with 310 additions and 115 deletions

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@ -137,11 +137,16 @@ class GainControlForNewAgc : public GainControl, public VolumeCallbacks {
AudioProcessing* AudioProcessing::Create() {
Config config;
return Create(config);
return Create(config, nullptr);
}
AudioProcessing* AudioProcessing::Create(const Config& config) {
AudioProcessingImpl* apm = new AudioProcessingImpl(config);
return Create(config, nullptr);
}
AudioProcessing* AudioProcessing::Create(const Config& config,
Beamformer* beamformer) {
AudioProcessingImpl* apm = new AudioProcessingImpl(config, beamformer);
if (apm->Initialize() != kNoError) {
delete apm;
apm = NULL;
@ -151,6 +156,10 @@ AudioProcessing* AudioProcessing::Create(const Config& config) {
}
AudioProcessingImpl::AudioProcessingImpl(const Config& config)
: AudioProcessingImpl(config, nullptr) {}
AudioProcessingImpl::AudioProcessingImpl(const Config& config,
Beamformer* beamformer)
: echo_cancellation_(NULL),
echo_control_mobile_(NULL),
gain_control_(NULL),
@ -181,6 +190,7 @@ AudioProcessingImpl::AudioProcessingImpl(const Config& config)
#endif
transient_suppressor_enabled_(config.Get<ExperimentalNs>().enabled),
beamformer_enabled_(config.Get<Beamforming>().enabled),
beamformer_(beamformer),
array_geometry_(config.Get<Beamforming>().array_geometry) {
echo_cancellation_ = new EchoCancellationImpl(this, crit_);
component_list_.push_back(echo_cancellation_);
@ -330,6 +340,11 @@ int AudioProcessingImpl::InitializeLocked(int input_sample_rate_hz,
num_reverse_channels > 2 || num_reverse_channels < 1) {
return kBadNumberChannelsError;
}
if (beamformer_enabled_ &&
(static_cast<size_t>(num_input_channels) != array_geometry_.size() ||
num_output_channels > 1)) {
return kBadNumberChannelsError;
}
fwd_in_format_.set(input_sample_rate_hz, num_input_channels);
fwd_out_format_.set(output_sample_rate_hz, num_output_channels);
@ -395,11 +410,6 @@ int AudioProcessingImpl::MaybeInitializeLocked(int input_sample_rate_hz,
num_reverse_channels == rev_in_format_.num_channels()) {
return kNoError;
}
if (beamformer_enabled_ &&
(static_cast<size_t>(num_input_channels) != array_geometry_.size() ||
num_output_channels > 1)) {
return kBadNumberChannelsError;
}
return InitializeLocked(input_sample_rate_hz,
output_sample_rate_hz,
reverse_sample_rate_hz,
@ -622,7 +632,9 @@ int AudioProcessingImpl::ProcessStreamLocked() {
RETURN_ON_ERR(echo_control_mobile_->ProcessCaptureAudio(ca));
RETURN_ON_ERR(voice_detection_->ProcessCaptureAudio(ca));
if (use_new_agc_ && gain_control_->is_enabled()) {
if (use_new_agc_ &&
gain_control_->is_enabled() &&
(!beamformer_enabled_ || beamformer_->is_target_present())) {
agc_manager_->Process(ca->split_bands_const(0)[kBand0To8kHz],
ca->samples_per_split_channel(),
split_rate_);
@ -990,9 +1002,10 @@ int AudioProcessingImpl::InitializeTransient() {
void AudioProcessingImpl::InitializeBeamformer() {
if (beamformer_enabled_) {
#ifdef WEBRTC_BEAMFORMER
beamformer_.reset(new Beamformer(kChunkSizeMs,
split_rate_,
array_geometry_));
if (!beamformer_) {
beamformer_.reset(new Beamformer(array_geometry_));
}
beamformer_->Initialize(kChunkSizeMs, split_rate_);
#else
assert(false);
#endif

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@ -86,6 +86,8 @@ class AudioFormat : public AudioRate {
class AudioProcessingImpl : public AudioProcessing {
public:
explicit AudioProcessingImpl(const Config& config);
// Only for testing.
AudioProcessingImpl(const Config& config, Beamformer* beamformer);
virtual ~AudioProcessingImpl();
// AudioProcessing methods.

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@ -27,7 +27,6 @@ const float kAlpha = 1.5f;
// The minimum value a postprocessing mask can take.
const float kMaskMinimum = 0.01f;
const int kFftSize = 256;
const float kSpeedOfSoundMeterSeconds = 340;
// For both target and interf angles, 0 is perpendicular to the microphone
@ -47,8 +46,6 @@ const float kInterfAngleRadians = static_cast<float>(M_PI) / 4.f;
// Rpsi = Rpsi_angled * kBalance + Rpsi_uniform * (1 - kBalance)
const float kBalance = 0.2f;
const int kNumFreqBins = kFftSize / 2 + 1;
// TODO(claguna): need comment here.
const float kBeamwidthConstant = 0.00001f;
@ -61,10 +58,6 @@ const float kBoxcarHalfWidth = 0.001f;
// that our covariance matrices are positive semidefinite.
const float kCovUniformGapHalfWidth = 0.001f;
// How many blocks of past masks (including the current block) we save. Saved
// masks are used for postprocessing such as removing musical noise.
const int kNumberSavedPostfilterMasks = 2;
// Lower bound on gain decay.
const float kHalfLifeSeconds = 0.05f;
@ -72,9 +65,15 @@ const float kHalfLifeSeconds = 0.05f;
const int kMidFrequnecyLowerBoundHz = 250;
const int kMidFrequencyUpperBoundHz = 400;
const int kHighFrequnecyLowerBoundHz = 4000;
const int kHighFrequencyLowerBoundHz = 4000;
const int kHighFrequencyUpperBoundHz = 7000;
// Mask threshold over which the data is considered signal and not interference.
const float kMaskTargetThreshold = 0.3f;
// Time in seconds after which the data is considered interference if the mask
// does not pass |kMaskTargetThreshold|.
const float kHoldTargetSeconds = 0.25f;
// Does conjugate(|norm_mat|) * |mat| * transpose(|norm_mat|). No extra space is
// used; to accomplish this, we compute both multiplications in the same loop.
float Norm(const ComplexMatrix<float>& mat,
@ -126,46 +125,45 @@ int Round(float x) {
} // namespace
Beamformer::Beamformer(int chunk_size_ms,
int sample_rate_hz,
const std::vector<Point>& array_geometry)
: chunk_length_(sample_rate_hz / (1000.f / chunk_size_ms)),
window_(new float[kFftSize]),
num_input_channels_(array_geometry.size()),
sample_rate_hz_(sample_rate_hz),
mic_spacing_(MicSpacingFromGeometry(array_geometry)),
decay_threshold_(
pow(2, (kFftSize / -2.f) / (sample_rate_hz_ * kHalfLifeSeconds))),
mid_frequency_lower_bin_bound_(
Round(kMidFrequnecyLowerBoundHz * kFftSize / sample_rate_hz_)),
mid_frequency_upper_bin_bound_(
Round(kMidFrequencyUpperBoundHz * kFftSize / sample_rate_hz_)),
high_frequency_lower_bin_bound_(
Round(kHighFrequnecyLowerBoundHz * kFftSize / sample_rate_hz_)),
high_frequency_upper_bin_bound_(
Round(kHighFrequencyUpperBoundHz * kFftSize / sample_rate_hz_)),
current_block_ix_(0),
previous_block_ix_(-1),
postfilter_masks_(new MatrixF[kNumberSavedPostfilterMasks]),
delay_sum_masks_(new ComplexMatrixF[kNumFreqBins]),
target_cov_mats_(new ComplexMatrixF[kNumFreqBins]),
interf_cov_mats_(new ComplexMatrixF[kNumFreqBins]),
reflected_interf_cov_mats_(new ComplexMatrixF[kNumFreqBins]),
mask_thresholds_(new float[kNumFreqBins]),
wave_numbers_(new float[kNumFreqBins]),
rxiws_(new float[kNumFreqBins]),
rpsiws_(new float[kNumFreqBins]),
reflected_rpsiws_(new float[kNumFreqBins]) {
Beamformer::Beamformer(const std::vector<Point>& array_geometry)
: num_input_channels_(array_geometry.size()),
mic_spacing_(MicSpacingFromGeometry(array_geometry)) {
WindowGenerator::KaiserBesselDerived(kAlpha, kFftSize, window_);
for (int i = 0; i < kNumberSavedPostfilterMasks; ++i) {
postfilter_masks_[i].Resize(1, kNumFreqBins);
}
}
void Beamformer::Initialize(int chunk_size_ms, int sample_rate_hz) {
chunk_length_ = sample_rate_hz / (1000.f / chunk_size_ms);
sample_rate_hz_ = sample_rate_hz;
decay_threshold_ =
pow(2, (kFftSize / -2.f) / (sample_rate_hz_ * kHalfLifeSeconds));
mid_frequency_lower_bin_bound_ =
Round(kMidFrequnecyLowerBoundHz * kFftSize / sample_rate_hz_);
mid_frequency_upper_bin_bound_ =
Round(kMidFrequencyUpperBoundHz * kFftSize / sample_rate_hz_);
high_frequency_lower_bin_bound_ =
Round(kHighFrequencyLowerBoundHz * kFftSize / sample_rate_hz_);
high_frequency_upper_bin_bound_ =
Round(kHighFrequencyUpperBoundHz * kFftSize / sample_rate_hz_);
current_block_ix_ = 0;
previous_block_ix_ = -1;
is_target_present_ = false;
hold_target_blocks_ = kHoldTargetSeconds * 2 * sample_rate_hz / kFftSize;
interference_blocks_count_ = hold_target_blocks_;
DCHECK_LE(mid_frequency_upper_bin_bound_, kNumFreqBins);
DCHECK_LT(mid_frequency_lower_bin_bound_, mid_frequency_upper_bin_bound_);
DCHECK_LE(high_frequency_upper_bin_bound_, kNumFreqBins);
DCHECK_LT(high_frequency_lower_bin_bound_, high_frequency_upper_bin_bound_);
WindowGenerator::KaiserBesselDerived(kAlpha, kFftSize, window_.get());
lapped_transform_.reset(new LappedTransform(num_input_channels_,
1,
chunk_length_,
window_.get(),
window_,
kFftSize,
kFftSize / 2,
this));
@ -196,9 +194,6 @@ Beamformer::Beamformer(int chunk_size_ms,
reflected_rpsiws_[i] =
Norm(reflected_interf_cov_mats_[i], delay_sum_masks_[i]);
}
for (int i = 0; i < kNumberSavedPostfilterMasks; ++i) {
postfilter_masks_[i].Resize(1, kNumFreqBins);
}
}
void Beamformer::InitDelaySumMasks() {
@ -379,6 +374,8 @@ void Beamformer::ProcessAudioBlock(const complex_f* const* input,
mask_thresholds_[i]);
}
EstimateTargetPresence(mask_data, kNumFreqBins);
// Can't access block_index - 1 on the first block.
if (previous_block_ix_ >= 0) {
ApplyDecay();
@ -490,4 +487,18 @@ float Beamformer::MicSpacingFromGeometry(const std::vector<Point>& geometry) {
return sqrt(mic_spacing);
}
void Beamformer::EstimateTargetPresence(float* mask, int length) {
memcpy(sorted_mask_, mask, kNumFreqBins * sizeof(*mask));
const int median_ix = (length + 1) / 2;
std::nth_element(sorted_mask_,
sorted_mask_ + median_ix,
sorted_mask_ + length);
if (sorted_mask_[median_ix] > kMaskTargetThreshold) {
is_target_present_ = true;
interference_blocks_count_ = 0;
} else {
is_target_present_ = interference_blocks_count_++ < hold_target_blocks_;
}
}
} // namespace webrtc

View File

@ -29,22 +29,29 @@ class Beamformer : public LappedTransform::Callback {
public:
// At the moment it only accepts uniform linear microphone arrays. Using the
// first microphone as a reference position [0, 0, 0] is a natural choice.
Beamformer(int chunk_size_ms,
// Sample rate corresponds to the lower band.
int sample_rate_hz,
const std::vector<Point>& array_geometry);
explicit Beamformer(const std::vector<Point>& array_geometry);
virtual ~Beamformer() {};
// Sample rate corresponds to the lower band.
// Needs to be called before the Beamformer can be used.
virtual void Initialize(int chunk_size_ms, int sample_rate_hz);
// Process one time-domain chunk of audio. The audio can be separated into
// two signals by frequency, with the higher half passed in as the second
// parameter. Use NULL for |high_pass_split_input| if you only have one
// audio signal. The number of frames and channels must correspond to the
// ctor parameters. The same signal can be passed in as |input| and |output|.
void ProcessChunk(const float* const* input,
const float* const* high_pass_split_input,
int num_input_channels,
int num_frames_per_band,
float* const* output,
float* const* high_pass_split_output);
virtual void ProcessChunk(const float* const* input,
const float* const* high_pass_split_input,
int num_input_channels,
int num_frames_per_band,
float* const* output,
float* const* high_pass_split_output);
// After processing each block |is_target_present_| is set to true if the
// target signal es present and to false otherwise. This methods can be called
// to know if the data is target signal or interference and process it
// accordingly.
virtual bool is_target_present() { return is_target_present_; }
protected:
// Process one frequency-domain block of audio. This is where the fun
@ -53,7 +60,7 @@ class Beamformer : public LappedTransform::Callback {
int num_input_channels,
int num_freq_bins,
int num_output_channels,
complex<float>* const* output);
complex<float>* const* output) override;
private:
typedef Matrix<float> MatrixF;
@ -93,23 +100,30 @@ class Beamformer : public LappedTransform::Callback {
void ApplyMasks(const complex_f* const* input, complex_f* const* output);
float MicSpacingFromGeometry(const std::vector<Point>& array_geometry);
void EstimateTargetPresence(float* mask, int length);
static const int kFftSize = 256;
static const int kNumFreqBins = kFftSize / 2 + 1;
// How many blocks of past masks (including the current block) we save. Saved
// masks are used for postprocessing such as removing musical noise.
static const int kNumberSavedPostfilterMasks = 2;
// Deals with the fft transform and blocking.
const int chunk_length_;
int chunk_length_;
scoped_ptr<LappedTransform> lapped_transform_;
scoped_ptr<float[]> window_;
float window_[kFftSize];
// Parameters exposed to the user.
const int num_input_channels_;
const int sample_rate_hz_;
int sample_rate_hz_;
const float mic_spacing_;
// Calculated based on user-input and constants in the .cc file.
const float decay_threshold_;
const int mid_frequency_lower_bin_bound_;
const int mid_frequency_upper_bin_bound_;
const int high_frequency_lower_bin_bound_;
const int high_frequency_upper_bin_bound_;
float decay_threshold_;
int mid_frequency_lower_bin_bound_;
int mid_frequency_upper_bin_bound_;
int high_frequency_lower_bin_bound_;
int high_frequency_upper_bin_bound_;
// Indices into |postfilter_masks_|.
int current_block_ix_;
@ -117,29 +131,30 @@ class Beamformer : public LappedTransform::Callback {
// Old masks are saved in this ring buffer for smoothing. Array of length
// |kNumberSavedMasks| matrix of size 1 x |kNumFreqBins|.
scoped_ptr<MatrixF[]> postfilter_masks_;
MatrixF postfilter_masks_[kNumberSavedPostfilterMasks];
float sorted_mask_[kNumFreqBins];
// Array of length |kNumFreqBins|, Matrix of size |1| x |num_channels_|.
scoped_ptr<ComplexMatrixF[]> delay_sum_masks_;
ComplexMatrixF delay_sum_masks_[kNumFreqBins];
// Array of length |kNumFreqBins|, Matrix of size |num_input_channels_| x
// |num_input_channels_|.
scoped_ptr<ComplexMatrixF[]> target_cov_mats_;
ComplexMatrixF target_cov_mats_[kNumFreqBins];
// Array of length |kNumFreqBins|, Matrix of size |num_input_channels_| x
// |num_input_channels_|.
scoped_ptr<ComplexMatrixF[]> interf_cov_mats_;
scoped_ptr<ComplexMatrixF[]> reflected_interf_cov_mats_;
ComplexMatrixF interf_cov_mats_[kNumFreqBins];
ComplexMatrixF reflected_interf_cov_mats_[kNumFreqBins];
// Of length |kNumFreqBins|.
scoped_ptr<float[]> mask_thresholds_;
scoped_ptr<float[]> wave_numbers_;
float mask_thresholds_[kNumFreqBins];
float wave_numbers_[kNumFreqBins];
// Preallocated for ProcessAudioBlock()
// Of length |kNumFreqBins|.
scoped_ptr<float[]> rxiws_;
scoped_ptr<float[]> rpsiws_;
scoped_ptr<float[]> reflected_rpsiws_;
float rxiws_[kNumFreqBins];
float rpsiws_[kNumFreqBins];
float reflected_rpsiws_[kNumFreqBins];
// The microphone normalization factor.
ComplexMatrixF eig_m_;
@ -148,6 +163,14 @@ class Beamformer : public LappedTransform::Callback {
bool high_pass_exists_;
int num_blocks_in_this_chunk_;
float high_pass_postfilter_mask_;
// True when the target signal is present.
bool is_target_present_;
// Number of blocks after which the data is considered interference if the
// mask does not pass |kMaskSignalThreshold|.
int hold_target_blocks_;
// Number of blocks since the last mask that passed |kMaskSignalThreshold|.
int interference_blocks_count_;
};
} // namespace webrtc

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@ -59,9 +59,8 @@ int main(int argc, char* argv[]) {
for (int i = 0; i < FLAGS_num_input_channels; ++i) {
array_geometry.push_back(webrtc::Point(i * FLAGS_mic_spacing, 0.f, 0.f));
}
webrtc::Beamformer bf(kChunkTimeMilliseconds,
FLAGS_sample_rate,
array_geometry);
webrtc::Beamformer bf(array_geometry);
bf.Initialize(kChunkTimeMilliseconds, FLAGS_sample_rate);
while (true) {
size_t samples_read = webrtc::PcmReadToFloat(read_file,
kInputSamplesPerChunk,

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@ -0,0 +1,22 @@
/*
* Copyright (c) 2015 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 "webrtc/modules/audio_processing/beamformer/mock_beamformer.h"
#include <vector>
namespace webrtc {
MockBeamformer::MockBeamformer(const std::vector<Point>& array_geometry)
: Beamformer(array_geometry) {}
MockBeamformer::~MockBeamformer() {}
} // namespace webrtc

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@ -0,0 +1,38 @@
/*
* Copyright (c) 2015 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.
*/
#ifndef WEBRTC_MODULES_AUDIO_PROCESSING_BEAMFORMER_MOCK_BEAMFORMER_H_
#define WEBRTC_MODULES_AUDIO_PROCESSING_BEAMFORMER_MOCK_BEAMFORMER_H_
#include <vector>
#include "testing/gmock/include/gmock/gmock.h"
#include "webrtc/modules/audio_processing/beamformer/beamformer.h"
namespace webrtc {
class MockBeamformer : public Beamformer {
public:
explicit MockBeamformer(const std::vector<Point>& array_geometry);
~MockBeamformer() override;
MOCK_METHOD2(Initialize, void(int chunk_size_ms, int sample_rate_hz));
MOCK_METHOD6(ProcessChunk, void(const float* const* input,
const float* const* high_pass_split_input,
int num_input_channels,
int num_frames_per_band,
float* const* output,
float* const* high_pass_split_output));
MOCK_METHOD0(is_target_present, bool());
};
} // namespace webrtc
#endif // WEBRTC_MODULES_AUDIO_PROCESSING_BEAMFORMER_MOCK_BEAMFORMER_H_

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@ -24,6 +24,7 @@ struct AecCore;
namespace webrtc {
class AudioFrame;
class Beamformer;
class EchoCancellation;
class EchoControlMobile;
class GainControl;
@ -199,6 +200,8 @@ class AudioProcessing {
static AudioProcessing* Create();
// Allows passing in an optional configuration at create-time.
static AudioProcessing* Create(const Config& config);
// Only for testing.
static AudioProcessing* Create(const Config& config, Beamformer* beamformer);
virtual ~AudioProcessing() {}
// Initializes internal states, while retaining all user settings. This

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@ -18,6 +18,7 @@
#include "webrtc/common_audio/resampler/include/push_resampler.h"
#include "webrtc/common_audio/resampler/push_sinc_resampler.h"
#include "webrtc/common_audio/signal_processing/include/signal_processing_library.h"
#include "webrtc/modules/audio_processing/beamformer/mock_beamformer.h"
#include "webrtc/modules/audio_processing/common.h"
#include "webrtc/modules/audio_processing/include/audio_processing.h"
#include "webrtc/modules/audio_processing/test/test_utils.h"
@ -278,6 +279,35 @@ void OpenFileAndReadMessage(const std::string filename,
fclose(file);
}
// Reads a 10 ms chunk of int16 interleaved audio from the given (assumed
// stereo) file, converts to deinterleaved float (optionally downmixing) and
// returns the result in |cb|. Returns false if the file ended (or on error) and
// true otherwise.
//
// |int_data| and |float_data| are just temporary space that must be
// sufficiently large to hold the 10 ms chunk.
bool ReadChunk(FILE* file, int16_t* int_data, float* float_data,
ChannelBuffer<float>* cb) {
// The files always contain stereo audio.
size_t frame_size = cb->samples_per_channel() * 2;
size_t read_count = fread(int_data, sizeof(int16_t), frame_size, file);
if (read_count != frame_size) {
// Check that the file really ended.
assert(feof(file));
return false; // This is expected.
}
S16ToFloat(int_data, frame_size, float_data);
if (cb->num_channels() == 1) {
MixStereoToMono(float_data, cb->data(), cb->samples_per_channel());
} else {
Deinterleave(float_data, cb->samples_per_channel(), 2,
cb->channels());
}
return true;
}
class ApmTest : public ::testing::Test {
protected:
ApmTest();
@ -1164,6 +1194,87 @@ TEST_F(ApmTest, ManualVolumeChangeIsPossible) {
}
}
#if !defined(WEBRTC_ANDROID) && !defined(WEBRTC_IOS)
TEST_F(ApmTest, AgcOnlyAdaptsWhenTargetSignalIsPresent) {
const int kSampleRateHz = 16000;
const int kSamplesPerChannel =
AudioProcessing::kChunkSizeMs * kSampleRateHz / 1000;
const int kNumInputChannels = 2;
const int kNumOutputChannels = 1;
const int kNumChunks = 700;
const float kScaleFactor = 0.25f;
Config config;
std::vector<webrtc::Point> geometry;
geometry.push_back(webrtc::Point(0.f, 0.f, 0.f));
geometry.push_back(webrtc::Point(0.05f, 0.f, 0.f));
config.Set<Beamforming>(new Beamforming(true, geometry));
testing::NiceMock<MockBeamformer>* beamformer =
new testing::NiceMock<MockBeamformer>(geometry);
scoped_ptr<AudioProcessing> apm(AudioProcessing::Create(config, beamformer));
EXPECT_EQ(kNoErr, apm->gain_control()->Enable(true));
ChannelBuffer<float> src_buf(kSamplesPerChannel, kNumInputChannels);
ChannelBuffer<float> dest_buf(kSamplesPerChannel, kNumOutputChannels);
const int max_length = kSamplesPerChannel * std::max(kNumInputChannels,
kNumOutputChannels);
scoped_ptr<int16_t[]> int_data(new int16_t[max_length]);
scoped_ptr<float[]> float_data(new float[max_length]);
std::string filename = ResourceFilePath("far", kSampleRateHz);
FILE* far_file = fopen(filename.c_str(), "rb");
ASSERT_TRUE(far_file != NULL) << "Could not open file " << filename << "\n";
const int kDefaultVolume = apm->gain_control()->stream_analog_level();
const int kDefaultCompressionGain =
apm->gain_control()->compression_gain_db();
bool is_target = false;
EXPECT_CALL(*beamformer, is_target_present())
.WillRepeatedly(testing::ReturnPointee(&is_target));
for (int i = 0; i < kNumChunks; ++i) {
ASSERT_TRUE(ReadChunk(far_file,
int_data.get(),
float_data.get(),
&src_buf));
for (int j = 0; j < kNumInputChannels * kSamplesPerChannel; ++j) {
src_buf.data()[j] *= kScaleFactor;
}
EXPECT_EQ(kNoErr,
apm->ProcessStream(src_buf.channels(),
src_buf.samples_per_channel(),
kSampleRateHz,
LayoutFromChannels(src_buf.num_channels()),
kSampleRateHz,
LayoutFromChannels(dest_buf.num_channels()),
dest_buf.channels()));
}
EXPECT_EQ(kDefaultVolume,
apm->gain_control()->stream_analog_level());
EXPECT_EQ(kDefaultCompressionGain,
apm->gain_control()->compression_gain_db());
rewind(far_file);
is_target = true;
for (int i = 0; i < kNumChunks; ++i) {
ASSERT_TRUE(ReadChunk(far_file,
int_data.get(),
float_data.get(),
&src_buf));
for (int j = 0; j < kNumInputChannels * kSamplesPerChannel; ++j) {
src_buf.data()[j] *= kScaleFactor;
}
EXPECT_EQ(kNoErr,
apm->ProcessStream(src_buf.channels(),
src_buf.samples_per_channel(),
kSampleRateHz,
LayoutFromChannels(src_buf.num_channels()),
kSampleRateHz,
LayoutFromChannels(dest_buf.num_channels()),
dest_buf.channels()));
}
EXPECT_LT(kDefaultVolume,
apm->gain_control()->stream_analog_level());
EXPECT_LT(kDefaultCompressionGain,
apm->gain_control()->compression_gain_db());
ASSERT_EQ(0, fclose(far_file));
}
#endif
TEST_F(ApmTest, NoiseSuppression) {
// Test valid suppression levels.
NoiseSuppression::Level level[] = {
@ -2031,35 +2142,6 @@ TEST_F(ApmTest, NoErrorsWithKeyboardChannel) {
}
}
// Reads a 10 ms chunk of int16 interleaved audio from the given (assumed
// stereo) file, converts to deinterleaved float (optionally downmixing) and
// returns the result in |cb|. Returns false if the file ended (or on error) and
// true otherwise.
//
// |int_data| and |float_data| are just temporary space that must be
// sufficiently large to hold the 10 ms chunk.
bool ReadChunk(FILE* file, int16_t* int_data, float* float_data,
ChannelBuffer<float>* cb) {
// The files always contain stereo audio.
size_t frame_size = cb->samples_per_channel() * 2;
size_t read_count = fread(int_data, sizeof(int16_t), frame_size, file);
if (read_count != frame_size) {
// Check that the file really ended.
assert(feof(file));
return false; // This is expected.
}
S16ToFloat(int_data, frame_size, float_data);
if (cb->num_channels() == 1) {
MixStereoToMono(float_data, cb->data(), cb->samples_per_channel());
} else {
Deinterleave(float_data, cb->samples_per_channel(), 2,
cb->channels());
}
return true;
}
// Compares the reference and test arrays over a region around the expected
// delay. Finds the highest SNR in that region and adds the variance and squared
// error results to the supplied accumulators.

View File

@ -180,6 +180,8 @@
'audio_processing/beamformer/complex_matrix_unittest.cc',
'audio_processing/beamformer/covariance_matrix_generator_unittest.cc',
'audio_processing/beamformer/matrix_unittest.cc',
'audio_processing/beamformer/mock_beamformer.cc',
'audio_processing/beamformer/mock_beamformer.h',
'audio_processing/beamformer/pcm_utils.cc',
'audio_processing/beamformer/pcm_utils.h',
'audio_processing/echo_cancellation_impl_unittest.cc',