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Delete voice_detection() pointer to submodule

Browse Source 
The new configuration path is via AudioProcessing::ApplyConfig and
AudioProcessing::GetStatistics.

ApmTest.Process passes with unchanged reference files if
audio_processing_impl would initialize the VAD with
VoiceDetection::kLowLikelihood instead of kVeryLowLikelihood.
This was verified by testing this CL with that modification.

Bug: webrtc:9878
Change-Id: I4d08df37a07e5c72feeec02a07d6b9435f917d72
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/155445
Commit-Queue: Sam Zackrisson <saza@webrtc.org>
Reviewed-by: Ivo Creusen <ivoc@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#29395}
This commit is contained in:
Sam Zackrisson
2019-10-07 14:03:56 +02:00
committed by Commit Bot
parent 24d251f796
commit 0824c6f61a
19 changed files with 223 additions and 511 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
modules/audio_processing/BUILD.gn
View File

@ -156,8 +156,8 @@ rtc_static_library("audio_processing") {
"transient/wpd_tree.h",
"typing_detection.cc",
"typing_detection.h",
"voice_detection_impl.cc",
"voice_detection_impl.h",
"voice_detection.cc",
"voice_detection.h",
]
defines = []

73
modules/audio_processing/audio_processing_impl.cc
View File

@ -40,7 +40,7 @@
#include "modules/audio_processing/noise_suppression_proxy.h"
#include "modules/audio_processing/residual_echo_detector.h"
#include "modules/audio_processing/transient/transient_suppressor.h"
#include "modules/audio_processing/voice_detection_impl.h"
#include "modules/audio_processing/voice_detection.h"
#include "rtc_base/atomic_ops.h"
#include "rtc_base/checks.h"
#include "rtc_base/constructor_magic.h"
@ -165,8 +165,7 @@ bool AudioProcessingImpl::ApmSubmoduleStates::Update(
bool gain_controller2_enabled,
bool pre_amplifier_enabled,
bool echo_controller_enabled,
bool voice_activity_detector_enabled,
bool private_voice_detector_enabled,
bool voice_detector_enabled,
bool level_estimator_enabled,
bool transient_suppressor_enabled) {
bool changed = false;
@ -183,10 +182,7 @@ bool AudioProcessingImpl::ApmSubmoduleStates::Update(
changed |= (pre_amplifier_enabled_ != pre_amplifier_enabled);
changed |= (echo_controller_enabled != echo_controller_enabled_);
changed |= (level_estimator_enabled != level_estimator_enabled_);
changed |=
(voice_activity_detector_enabled != voice_activity_detector_enabled_);
changed |=
(private_voice_detector_enabled != private_voice_detector_enabled_);
changed |= (voice_detector_enabled != voice_detector_enabled_);
changed |= (transient_suppressor_enabled != transient_suppressor_enabled_);
if (changed) {
high_pass_filter_enabled_ = high_pass_filter_enabled;
@ -199,8 +195,7 @@ bool AudioProcessingImpl::ApmSubmoduleStates::Update(
pre_amplifier_enabled_ = pre_amplifier_enabled;
echo_controller_enabled_ = echo_controller_enabled;
level_estimator_enabled_ = level_estimator_enabled;
voice_activity_detector_enabled_ = voice_activity_detector_enabled;
private_voice_detector_enabled_ = private_voice_detector_enabled;
voice_detector_enabled_ = voice_detector_enabled;
transient_suppressor_enabled_ = transient_suppressor_enabled;
}
@ -211,8 +206,7 @@ bool AudioProcessingImpl::ApmSubmoduleStates::Update(
bool AudioProcessingImpl::ApmSubmoduleStates::CaptureMultiBandSubModulesActive()
const {
return CaptureMultiBandProcessingActive() ||
voice_activity_detector_enabled_ || private_voice_detector_enabled_;
return CaptureMultiBandProcessingActive() || voice_detector_enabled_;
}
bool AudioProcessingImpl::ApmSubmoduleStates::CaptureMultiBandProcessingActive()
@ -263,7 +257,6 @@ struct AudioProcessingImpl::ApmPublicSubmodules {
std::unique_ptr<LevelEstimatorImpl> level_estimator;
std::unique_ptr<NoiseSuppressionImpl> noise_suppression;
std::unique_ptr<NoiseSuppressionProxy> noise_suppression_proxy;
std::unique_ptr<VoiceDetectionImpl> voice_detection;
std::unique_ptr<GainControlImpl> gain_control;
std::unique_ptr<GainControlForExperimentalAgc>
gain_control_for_experimental_agc;
@ -295,7 +288,7 @@ struct AudioProcessingImpl::ApmPrivateSubmodules {
std::unique_ptr<GainApplier> pre_amplifier;
std::unique_ptr<CustomAudioAnalyzer> capture_analyzer;
std::unique_ptr<LevelEstimatorImpl> output_level_estimator;
std::unique_ptr<VoiceDetectionImpl> voice_detector;
std::unique_ptr<VoiceDetection> voice_detector;
};
AudioProcessingBuilder::AudioProcessingBuilder() = default;
@ -415,8 +408,6 @@ AudioProcessingImpl::AudioProcessingImpl(
new NoiseSuppressionImpl(&crit_capture_));
public_submodules_->noise_suppression_proxy.reset(new NoiseSuppressionProxy(
this, public_submodules_->noise_suppression.get()));
public_submodules_->voice_detection.reset(
new VoiceDetectionImpl(&crit_capture_));
public_submodules_->gain_control_for_experimental_agc.reset(
new GainControlForExperimentalAgc(
public_submodules_->gain_control.get()));
@ -556,11 +547,7 @@ int AudioProcessingImpl::InitializeLocked() {
InitializeHighPassFilter();
public_submodules_->noise_suppression->Initialize(num_proc_channels(),
proc_sample_rate_hz());
public_submodules_->voice_detection->Initialize(proc_split_sample_rate_hz());
if (private_submodules_->voice_detector) {
private_submodules_->voice_detector->Initialize(
proc_split_sample_rate_hz());
}
InitializeVoiceDetector();
public_submodules_->level_estimator->Initialize();
InitializeResidualEchoDetector();
InitializeEchoController();
@ -702,6 +689,9 @@ void AudioProcessingImpl::ApplyConfig(const AudioProcessing::Config& config) {
config_.gain_controller1.analog_level_maximum !=
config.gain_controller1.analog_level_maximum;
const bool voice_detection_config_changed =
config_.voice_detection.enabled != config.voice_detection.enabled;
config_ = config;
if (aec_config_changed) {
@ -745,14 +735,8 @@ void AudioProcessingImpl::ApplyConfig(const AudioProcessing::Config& config) {
private_submodules_->output_level_estimator->Enable(true);
}
if (config_.voice_detection.enabled && !private_submodules_->voice_detector) {
private_submodules_->voice_detector.reset(
new VoiceDetectionImpl(&crit_capture_));
private_submodules_->voice_detector->Enable(true);
private_submodules_->voice_detector->set_likelihood(
VoiceDetection::kVeryLowLikelihood);
private_submodules_->voice_detector->Initialize(
proc_split_sample_rate_hz());
if (voice_detection_config_changed) {
InitializeVoiceDetector();
}
// Reinitialization must happen after all submodule configuration to avoid
@ -1276,14 +1260,17 @@ int AudioProcessingImpl::ProcessStream(AudioFrame* frame) {
RecordUnprocessedCaptureStream(*frame);
}
capture_.vad_activity = frame->vad_activity_;
capture_.capture_audio->CopyFrom(frame);
RETURN_ON_ERR(ProcessCaptureStreamLocked());
if (submodule_states_.CaptureMultiBandProcessingActive() ||
submodule_states_.CaptureFullBandProcessingActive()) {
capture_.capture_audio->CopyTo(frame);
}
frame->vad_activity_ = capture_.vad_activity;
if (capture_.stats.voice_detected) {
frame->vad_activity_ = *capture_.stats.voice_detected
? AudioFrame::kVadActive
: AudioFrame::kVadPassive;
}
if (aec_dump_) {
RecordProcessedCaptureStream(*frame);
@ -1432,19 +1419,10 @@ int AudioProcessingImpl::ProcessCaptureStreamLocked() {
public_submodules_->noise_suppression->ProcessCaptureAudio(capture_buffer);
}
if (public_submodules_->voice_detection->is_enabled() &&
!public_submodules_->voice_detection->using_external_vad()) {
bool voice_active =
public_submodules_->voice_detection->ProcessCaptureAudio(
capture_buffer);
capture_.vad_activity =
voice_active ? AudioFrame::kVadActive : AudioFrame::kVadPassive;
}
if (config_.voice_detection.enabled) {
private_submodules_->voice_detector->ProcessCaptureAudio(capture_buffer);
capture_.stats.voice_detected =
private_submodules_->voice_detector->stream_has_voice();
private_submodules_->voice_detector->ProcessCaptureAudio(
capture_buffer);
} else {
capture_.stats.voice_detected = absl::nullopt;
}
@ -1817,10 +1795,6 @@ NoiseSuppression* AudioProcessingImpl::noise_suppression() const {
return public_submodules_->noise_suppression_proxy.get();
}
VoiceDetection* AudioProcessingImpl::voice_detection() const {
return public_submodules_->voice_detection.get();
}
void AudioProcessingImpl::MutateConfig(
rtc::FunctionView<void(AudioProcessing::Config*)> mutator) {
rtc::CritScope cs_render(&crit_render_);
@ -1845,7 +1819,6 @@ bool AudioProcessingImpl::UpdateActiveSubmoduleStates() {
public_submodules_->gain_control->is_enabled(),
config_.gain_controller2.enabled, config_.pre_amplifier.enabled,
capture_nonlocked_.echo_controller_enabled,
public_submodules_->voice_detection->is_enabled(),
config_.voice_detection.enabled,
public_submodules_->level_estimator->is_enabled(),
capture_.transient_suppressor_enabled);
@ -1871,6 +1844,14 @@ void AudioProcessingImpl::InitializeHighPassFilter() {
}
}
void AudioProcessingImpl::InitializeVoiceDetector() {
if (config_.voice_detection.enabled) {
private_submodules_->voice_detector = std::make_unique<VoiceDetection>(
proc_split_sample_rate_hz(), VoiceDetection::kVeryLowLikelihood);
} else {
private_submodules_->voice_detector.reset();
}
}
void AudioProcessingImpl::InitializeEchoController() {
bool use_echo_controller =
echo_control_factory_ ||

9
modules/audio_processing/audio_processing_impl.h
View File

@ -122,7 +122,6 @@ class AudioProcessingImpl : public AudioProcessing {
GainControl* gain_control() const override;
LevelEstimator* level_estimator() const override;
NoiseSuppression* noise_suppression() const override;
VoiceDetection* voice_detection() const override;
// TODO(peah): Remove MutateConfig once the new API allows that.
void MutateConfig(rtc::FunctionView<void(AudioProcessing::Config*)> mutator);
@ -182,8 +181,7 @@ class AudioProcessingImpl : public AudioProcessing {
bool gain_controller2_enabled,
bool pre_amplifier_enabled,
bool echo_controller_enabled,
bool voice_activity_detector_enabled,
bool private_voice_detector_enabled,
bool voice_detector_enabled,
bool level_estimator_enabled,
bool transient_suppressor_enabled);
bool CaptureMultiBandSubModulesActive() const;
@ -209,8 +207,7 @@ class AudioProcessingImpl : public AudioProcessing {
bool pre_amplifier_enabled_ = false;
bool echo_controller_enabled_ = false;
bool level_estimator_enabled_ = false;
bool voice_activity_detector_enabled_ = false;
bool private_voice_detector_enabled_ = false;
bool voice_detector_enabled_ = false;
bool transient_suppressor_enabled_ = false;
bool first_update_ = true;
};
@ -239,6 +236,7 @@ class AudioProcessingImpl : public AudioProcessing {
void InitializeResidualEchoDetector()
RTC_EXCLUSIVE_LOCKS_REQUIRED(crit_render_, crit_capture_);
void InitializeHighPassFilter() RTC_EXCLUSIVE_LOCKS_REQUIRED(crit_capture_);
void InitializeVoiceDetector() RTC_EXCLUSIVE_LOCKS_REQUIRED(crit_capture_);
void InitializeEchoController()
RTC_EXCLUSIVE_LOCKS_REQUIRED(crit_render_, crit_capture_);
void InitializeGainController2() RTC_EXCLUSIVE_LOCKS_REQUIRED(crit_capture_);
@ -405,7 +403,6 @@ class AudioProcessingImpl : public AudioProcessing {
size_t num_keyboard_frames = 0;
const float* keyboard_data = nullptr;
} keyboard_info;
AudioFrame::VADActivity vad_activity = AudioFrame::kVadUnknown;
} capture_ RTC_GUARDED_BY(crit_capture_);
struct ApmCaptureNonLockedState {

1
modules/audio_processing/audio_processing_impl_locking_unittest.cc
View File

@ -595,7 +595,6 @@ void StatsProcessor::Process() {
// The below return values are not testable.
apm_->noise_suppression()->speech_probability();
apm_->voice_detection()->is_enabled();
apm_->GetStatistics(/*has_remote_tracks=*/true);
}

90
modules/audio_processing/audio_processing_unittest.cc
View File

@ -193,12 +193,11 @@ void EnableAllAPComponents(AudioProcessing* ap) {
apm_config.high_pass_filter.enabled = true;
apm_config.level_estimation.enabled = true;
apm_config.voice_detection.enabled = true;
ap->ApplyConfig(apm_config);
EXPECT_NOERR(ap->level_estimator()->Enable(true));
EXPECT_NOERR(ap->noise_suppression()->Enable(true));
EXPECT_NOERR(ap->voice_detection()->Enable(true));
}
// These functions are only used by ApmTest.Process.
@ -1114,63 +1113,6 @@ TEST_F(ApmTest, LevelEstimator) {
EXPECT_EQ(90, apm_->level_estimator()->RMS());
}
TEST_F(ApmTest, VoiceDetection) {
// Test external VAD
EXPECT_EQ(apm_->kNoError,
apm_->voice_detection()->set_stream_has_voice(true));
EXPECT_TRUE(apm_->voice_detection()->stream_has_voice());
EXPECT_EQ(apm_->kNoError,
apm_->voice_detection()->set_stream_has_voice(false));
EXPECT_FALSE(apm_->voice_detection()->stream_has_voice());
// Test valid likelihoods
VoiceDetection::Likelihood likelihood[] = {
VoiceDetection::kVeryLowLikelihood, VoiceDetection::kLowLikelihood,
VoiceDetection::kModerateLikelihood, VoiceDetection::kHighLikelihood};
for (size_t i = 0; i < arraysize(likelihood); i++) {
EXPECT_EQ(apm_->kNoError,
apm_->voice_detection()->set_likelihood(likelihood[i]));
EXPECT_EQ(likelihood[i], apm_->voice_detection()->likelihood());
}
/* TODO(bjornv): Enable once VAD supports other frame lengths than 10 ms
// Test invalid frame sizes
EXPECT_EQ(apm_->kBadParameterError,
apm_->voice_detection()->set_frame_size_ms(12));
// Test valid frame sizes
for (int i = 10; i <= 30; i += 10) {
EXPECT_EQ(apm_->kNoError,
apm_->voice_detection()->set_frame_size_ms(i));
EXPECT_EQ(i, apm_->voice_detection()->frame_size_ms());
}
*/
// Turn VAD on/off
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(true));
EXPECT_TRUE(apm_->voice_detection()->is_enabled());
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(false));
EXPECT_FALSE(apm_->voice_detection()->is_enabled());
// Test that AudioFrame activity is maintained when VAD is disabled.
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(false));
AudioFrame::VADActivity activity[] = {
AudioFrame::kVadActive, AudioFrame::kVadPassive, AudioFrame::kVadUnknown};
for (size_t i = 0; i < arraysize(activity); i++) {
frame_->vad_activity_ = activity[i];
EXPECT_EQ(apm_->kNoError, apm_->ProcessStream(frame_));
EXPECT_EQ(activity[i], frame_->vad_activity_);
}
// Test that AudioFrame activity is set when VAD is enabled.
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(true));
frame_->vad_activity_ = AudioFrame::kVadUnknown;
EXPECT_EQ(apm_->kNoError, apm_->ProcessStream(frame_));
EXPECT_NE(AudioFrame::kVadUnknown, frame_->vad_activity_);
// TODO(bjornv): Add tests for streamed voice; stream_has_voice()
}
TEST_F(ApmTest, AllProcessingDisabledByDefault) {
AudioProcessing::Config config = apm_->GetConfig();
EXPECT_FALSE(config.echo_canceller.enabled);
@ -1180,7 +1122,6 @@ TEST_F(ApmTest, AllProcessingDisabledByDefault) {
EXPECT_FALSE(apm_->gain_control()->is_enabled());
EXPECT_FALSE(apm_->level_estimator()->is_enabled());
EXPECT_FALSE(apm_->noise_suppression()->is_enabled());
EXPECT_FALSE(apm_->voice_detection()->is_enabled());
}
TEST_F(ApmTest, NoProcessingWhenAllComponentsDisabled) {
@ -1282,16 +1223,7 @@ TEST_F(ApmTest, SplittingFilter) {
EXPECT_TRUE(FrameDataAreEqual(*frame_, frame_copy));
EXPECT_EQ(apm_->kNoError, apm_->level_estimator()->Enable(false));
// 3. Only VAD is enabled...
SetFrameTo(frame_, 1000);
frame_copy.CopyFrom(*frame_);
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(true));
EXPECT_EQ(apm_->kNoError, apm_->ProcessStream(frame_));
EXPECT_EQ(apm_->kNoError, apm_->ProcessStream(frame_));
EXPECT_TRUE(FrameDataAreEqual(*frame_, frame_copy));
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(false));
// 4. Only GetStatistics-reporting VAD is enabled...
// 3. Only GetStatistics-reporting VAD is enabled...
SetFrameTo(frame_, 1000);
frame_copy.CopyFrom(*frame_);
auto apm_config = apm_->GetConfig();
@ -1303,18 +1235,16 @@ TEST_F(ApmTest, SplittingFilter) {
apm_config.voice_detection.enabled = false;
apm_->ApplyConfig(apm_config);
// 5. Both VADs and the level estimator are enabled...
// 4. Both the VAD and the level estimator are enabled...
SetFrameTo(frame_, 1000);
frame_copy.CopyFrom(*frame_);
EXPECT_EQ(apm_->kNoError, apm_->level_estimator()->Enable(true));
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(true));
apm_config.voice_detection.enabled = true;
apm_->ApplyConfig(apm_config);
EXPECT_EQ(apm_->kNoError, apm_->ProcessStream(frame_));
EXPECT_EQ(apm_->kNoError, apm_->ProcessStream(frame_));
EXPECT_TRUE(FrameDataAreEqual(*frame_, frame_copy));
EXPECT_EQ(apm_->kNoError, apm_->level_estimator()->Enable(false));
EXPECT_EQ(apm_->kNoError, apm_->voice_detection()->Enable(false));
apm_config.voice_detection.enabled = false;
apm_->ApplyConfig(apm_config);
@ -1652,18 +1582,15 @@ TEST_F(ApmTest, Process) {
if (apm_->gain_control()->stream_is_saturated()) {
is_saturated_count++;
}
if (apm_->voice_detection()->stream_has_voice()) {
has_voice_count++;
EXPECT_EQ(AudioFrame::kVadActive, frame_->vad_activity_);
} else {
EXPECT_EQ(AudioFrame::kVadPassive, frame_->vad_activity_);
}
ns_speech_prob_average += apm_->noise_suppression()->speech_probability();
AudioProcessingStats stats =
apm_->GetStatistics(/*has_remote_tracks=*/false);
EXPECT_TRUE(stats.voice_detected);
EXPECT_TRUE(stats.output_rms_dbfs);
has_voice_count += *stats.voice_detected ? 1 : 0;
rms_dbfs_average += *stats.output_rms_dbfs;
ns_speech_prob_average += apm_->noise_suppression()->speech_probability();
size_t frame_size = frame_->samples_per_channel_ * frame_->num_channels_;
size_t write_count =
fwrite(frame_->data(), sizeof(int16_t), frame_size, out_file_);
@ -2566,7 +2493,6 @@ std::unique_ptr<AudioProcessing> CreateApm(bool mobile_aec) {
EXPECT_EQ(apm->gain_control()->Enable(false), 0);
EXPECT_EQ(apm->level_estimator()->Enable(false), 0);
EXPECT_EQ(apm->noise_suppression()->Enable(false), 0);
EXPECT_EQ(apm->voice_detection()->Enable(false), 0);
return apm;
}

57
modules/audio_processing/include/audio_processing.h
View File

@ -53,7 +53,6 @@ class LevelEstimator;
class NoiseSuppression;
class CustomAudioAnalyzer;
class CustomProcessing;
class VoiceDetection;
// Use to enable the extended filter mode in the AEC, along with robustness
// measures around the reported system delays. It comes with a significant
@ -287,7 +286,10 @@ class AudioProcessing : public rtc::RefCountInterface {
Level level = kModerate;
} noise_suppression;
// Enables reporting of |has_voice| in webrtc::AudioProcessingStats.
// Enables reporting of |voice_detected| in webrtc::AudioProcessingStats.
// In addition to |voice_detected|, VAD decision is provided through the
// |AudioFrame| passed to |ProcessStream()|. The |vad_activity_| member will
// be modified to reflect the current decision.
struct VoiceDetection {
bool enabled = false;
} voice_detection;
@ -685,7 +687,6 @@ class AudioProcessing : public rtc::RefCountInterface {
virtual GainControl* gain_control() const = 0;
virtual LevelEstimator* level_estimator() const = 0;
virtual NoiseSuppression* noise_suppression() const = 0;
virtual VoiceDetection* voice_detection() const = 0;
// Returns the last applied configuration.
virtual AudioProcessing::Config GetConfig() const = 0;
@ -981,56 +982,6 @@ class EchoDetector : public rtc::RefCountInterface {
virtual Metrics GetMetrics() const = 0;
};
// The voice activity detection (VAD) component analyzes the stream to
// determine if voice is present. A facility is also provided to pass in an
// external VAD decision.
//
// In addition to |stream_has_voice()| the VAD decision is provided through the
// |AudioFrame| passed to |ProcessStream()|. The |vad_activity_| member will be
// modified to reflect the current decision.
class VoiceDetection {
public:
virtual int Enable(bool enable) = 0;
virtual bool is_enabled() const = 0;
// Returns true if voice is detected in the current frame. Should be called
// after |ProcessStream()|.
virtual bool stream_has_voice() const = 0;
// Some of the APM functionality requires a VAD decision. In the case that
// a decision is externally available for the current frame, it can be passed
// in here, before |ProcessStream()| is called.
//
// VoiceDetection does _not_ need to be enabled to use this. If it happens to
// be enabled, detection will be skipped for any frame in which an external
// VAD decision is provided.
virtual int set_stream_has_voice(bool has_voice) = 0;
// Specifies the likelihood that a frame will be declared to contain voice.
// A higher value makes it more likely that speech will not be clipped, at
// the expense of more noise being detected as voice.
enum Likelihood {
kVeryLowLikelihood,
kLowLikelihood,
kModerateLikelihood,
kHighLikelihood
};
virtual int set_likelihood(Likelihood likelihood) = 0;
virtual Likelihood likelihood() const = 0;
// Sets the |size| of the frames in ms on which the VAD will operate. Larger
// frames will improve detection accuracy, but reduce the frequency of
// updates.
//
// This does not impact the size of frames passed to |ProcessStream()|.
virtual int set_frame_size_ms(int size) = 0;
virtual int frame_size_ms() const = 0;
protected:
virtual ~VoiceDetection() {}
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_INCLUDE_AUDIO_PROCESSING_H_

20
modules/audio_processing/include/mock_audio_processing.h
View File

@ -91,26 +91,12 @@ class MockEchoControl : public EchoControl {
MOCK_METHOD1(SetAudioBufferDelay, void(size_t delay_ms));
};
class MockVoiceDetection : public VoiceDetection {
public:
virtual ~MockVoiceDetection() {}
MOCK_METHOD1(Enable, int(bool enable));
MOCK_CONST_METHOD0(is_enabled, bool());
MOCK_CONST_METHOD0(stream_has_voice, bool());
MOCK_METHOD1(set_stream_has_voice, int(bool has_voice));
MOCK_METHOD1(set_likelihood, int(Likelihood likelihood));
MOCK_CONST_METHOD0(likelihood, Likelihood());
MOCK_METHOD1(set_frame_size_ms, int(int size));
MOCK_CONST_METHOD0(frame_size_ms, int());
};
class MockAudioProcessing : public ::testing::NiceMock<AudioProcessing> {
public:
MockAudioProcessing()
: gain_control_(new ::testing::NiceMock<MockGainControl>()),
level_estimator_(new ::testing::NiceMock<MockLevelEstimator>()),
noise_suppression_(new ::testing::NiceMock<MockNoiseSuppression>()),
voice_detection_(new ::testing::NiceMock<MockVoiceDetection>()) {}
noise_suppression_(new ::testing::NiceMock<MockNoiseSuppression>()) {}
virtual ~MockAudioProcessing() {}
@ -183,9 +169,6 @@ class MockAudioProcessing : public ::testing::NiceMock<AudioProcessing> {
virtual MockNoiseSuppression* noise_suppression() const {
return noise_suppression_.get();
}
virtual MockVoiceDetection* voice_detection() const {
return voice_detection_.get();
}
MOCK_CONST_METHOD0(GetConfig, AudioProcessing::Config());
@ -193,7 +176,6 @@ class MockAudioProcessing : public ::testing::NiceMock<AudioProcessing> {
std::unique_ptr<MockGainControl> gain_control_;
std::unique_ptr<MockLevelEstimator> level_estimator_;
std::unique_ptr<MockNoiseSuppression> noise_suppression_;
std::unique_ptr<MockVoiceDetection> voice_detection_;
};
} // namespace test

15
modules/audio_processing/test/audio_processing_simulator.cc
View File

@ -455,6 +455,10 @@ void AudioProcessingSimulator::CreateAudioProcessor() {
apm_config.high_pass_filter.enabled = *settings_.use_hpf;
}
if (settings_.use_vad) {
apm_config.voice_detection.enabled = *settings_.use_vad;
}
if (settings_.use_refined_adaptive_filter) {
config.Set<RefinedAdaptiveFilter>(
new RefinedAdaptiveFilter(*settings_.use_refined_adaptive_filter));
@ -502,10 +506,6 @@ void AudioProcessingSimulator::CreateAudioProcessor() {
RTC_CHECK_EQ(AudioProcessing::kNoError,
ap_->level_estimator()->Enable(*settings_.use_le));
}
if (settings_.use_vad) {
RTC_CHECK_EQ(AudioProcessing::kNoError,
ap_->voice_detection()->Enable(*settings_.use_vad));
}
if (settings_.use_agc_limiter) {
RTC_CHECK_EQ(AudioProcessing::kNoError, ap_->gain_control()->enable_limiter(
*settings_.use_agc_limiter));
@ -526,13 +526,6 @@ void AudioProcessingSimulator::CreateAudioProcessor() {
ap_->gain_control()->set_mode(
static_cast<webrtc::GainControl::Mode>(*settings_.agc_mode)));
}
if (settings_.vad_likelihood) {
RTC_CHECK_EQ(AudioProcessing::kNoError,
ap_->voice_detection()->set_likelihood(
static_cast<webrtc::VoiceDetection::Likelihood>(
*settings_.vad_likelihood)));
}
if (settings_.ns_level) {
RTC_CHECK_EQ(
AudioProcessing::kNoError,

1
modules/audio_processing/test/audio_processing_simulator.h
View File

@ -79,7 +79,6 @@ struct SimulationSettings {
AudioProcessing::Config::GainController2::LevelEstimator
agc2_adaptive_level_estimator;
absl::optional<float> pre_amplifier_gain_factor;
absl::optional<int> vad_likelihood;
absl::optional<int> ns_level;
absl::optional<int> maximum_internal_processing_rate;
absl::optional<bool> use_refined_adaptive_filter;

11
modules/audio_processing/test/audioproc_float_impl.cc
View File

@ -185,10 +185,6 @@ ABSL_FLAG(float,
pre_amplifier_gain_factor,
kParameterNotSpecifiedValue,
"Pre-amplifier gain factor (linear) to apply");
ABSL_FLAG(int,
vad_likelihood,
kParameterNotSpecifiedValue,
"Specify the VAD likelihood (0-3)");
ABSL_FLAG(int,
ns_level,
kParameterNotSpecifiedValue,
@ -423,8 +419,6 @@ SimulationSettings CreateSettings() {
absl::GetFlag(FLAGS_agc2_adaptive_level_estimator));
SetSettingIfSpecified(absl::GetFlag(FLAGS_pre_amplifier_gain_factor),
&settings.pre_amplifier_gain_factor);
SetSettingIfSpecified(absl::GetFlag(FLAGS_vad_likelihood),
&settings.vad_likelihood);
SetSettingIfSpecified(absl::GetFlag(FLAGS_ns_level), &settings.ns_level);
SetSettingIfSpecified(absl::GetFlag(FLAGS_maximum_internal_processing_rate),
&settings.maximum_internal_processing_rate);
@ -555,11 +549,6 @@ void PerformBasicParameterSanityChecks(const SimulationSettings& settings) {
(*settings.agc2_fixed_gain_db) > 90),
"Error: --agc2_fixed_gain_db must be specified between 0 and 90.\n");
ReportConditionalErrorAndExit(
settings.vad_likelihood &&
((*settings.vad_likelihood) < 0 || (*settings.vad_likelihood) > 3),
"Error: --vad_likelihood must be specified between 0 and 3.\n");
ReportConditionalErrorAndExit(
settings.ns_level &&
((*settings.ns_level) < 0 || (*settings.ns_level) > 3),

93
modules/audio_processing/voice_detection.cc Normal file
View File

@ -0,0 +1,93 @@
/*
* Copyright (c) 2019 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/voice_detection.h"
#include "api/audio/audio_frame.h"
#include "common_audio/vad/include/webrtc_vad.h"
#include "modules/audio_processing/audio_buffer.h"
#include "rtc_base/checks.h"
namespace webrtc {
class VoiceDetection::Vad {
public:
Vad() {
state_ = WebRtcVad_Create();
RTC_CHECK(state_);
int error = WebRtcVad_Init(state_);
RTC_DCHECK_EQ(0, error);
}
~Vad() { WebRtcVad_Free(state_); }
Vad(Vad&) = delete;
Vad& operator=(Vad&) = delete;
VadInst* state() { return state_; }
private:
VadInst* state_ = nullptr;
};
VoiceDetection::VoiceDetection(int sample_rate_hz, Likelihood likelihood)
: sample_rate_hz_(sample_rate_hz),
frame_size_samples_(static_cast<size_t>(sample_rate_hz_ / 100)),
likelihood_(likelihood),
vad_(new Vad()) {
int mode = 2;
switch (likelihood) {
case VoiceDetection::kVeryLowLikelihood:
mode = 3;
break;
case VoiceDetection::kLowLikelihood:
mode = 2;
break;
case VoiceDetection::kModerateLikelihood:
mode = 1;
break;
case VoiceDetection::kHighLikelihood:
mode = 0;
break;
default:
RTC_NOTREACHED();
break;
}
int error = WebRtcVad_set_mode(vad_->state(), mode);
RTC_DCHECK_EQ(0, error);
}
VoiceDetection::~VoiceDetection() {}
bool VoiceDetection::ProcessCaptureAudio(AudioBuffer* audio) {
RTC_DCHECK_GE(AudioBuffer::kMaxSplitFrameLength,
audio->num_frames_per_band());
std::array<int16_t, AudioBuffer::kMaxSplitFrameLength> mixed_low_pass_data;
rtc::ArrayView<const int16_t> mixed_low_pass(mixed_low_pass_data.data(),
audio->num_frames_per_band());
if (audio->num_channels() == 1) {
FloatS16ToS16(audio->split_bands_const(0)[kBand0To8kHz],
audio->num_frames_per_band(), mixed_low_pass_data.data());
} else {
const int num_channels = static_cast<int>(audio->num_channels());
for (size_t i = 0; i < audio->num_frames_per_band(); ++i) {
int32_t value =
FloatS16ToS16(audio->split_channels_const(kBand0To8kHz)[0][i]);
for (int j = 1; j < num_channels; ++j) {
value += FloatS16ToS16(audio->split_channels_const(kBand0To8kHz)[j][i]);
}
mixed_low_pass_data[i] = value / num_channels;
}
}
int vad_ret = WebRtcVad_Process(vad_->state(), sample_rate_hz_,
mixed_low_pass.data(), frame_size_samples_);
RTC_DCHECK(vad_ret == 0 || vad_ret == 1);
return vad_ret == 0 ? false : true;
}
} // namespace webrtc

59
modules/audio_processing/voice_detection.h Normal file
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@ -0,0 +1,59 @@
/*
* Copyright (c) 2019 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 MODULES_AUDIO_PROCESSING_VOICE_DETECTION_H_
#define MODULES_AUDIO_PROCESSING_VOICE_DETECTION_H_
#include <stddef.h>
#include <memory>
#include "modules/audio_processing/include/audio_processing.h"
namespace webrtc {
class AudioBuffer;
// The voice activity detection (VAD) component analyzes the stream to
// determine if voice is present.
class VoiceDetection {
public:
// Specifies the likelihood that a frame will be declared to contain voice.
// A higher value makes it more likely that speech will not be clipped, at
// the expense of more noise being detected as voice.
enum Likelihood {
kVeryLowLikelihood,
kLowLikelihood,
kModerateLikelihood,
kHighLikelihood
};
VoiceDetection(int sample_rate_hz, Likelihood likelihood);
~VoiceDetection();
VoiceDetection(VoiceDetection&) = delete;
VoiceDetection& operator=(VoiceDetection&) = delete;
// Returns true if voice is detected in the current frame.
bool ProcessCaptureAudio(AudioBuffer* audio);
Likelihood likelihood() const { return likelihood_; }
private:
class Vad;
int sample_rate_hz_;
size_t frame_size_samples_;
Likelihood likelihood_;
std::unique_ptr<Vad> vad_;
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_VOICE_DETECTION_H_

168
modules/audio_processing/voice_detection_impl.cc
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@ -1,168 +0,0 @@
/*
* Copyright (c) 2012 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/voice_detection_impl.h"
#include "api/audio/audio_frame.h"
#include "common_audio/vad/include/webrtc_vad.h"
#include "modules/audio_processing/audio_buffer.h"
#include "rtc_base/checks.h"
#include "rtc_base/constructor_magic.h"
namespace webrtc {
class VoiceDetectionImpl::Vad {
public:
Vad() {
state_ = WebRtcVad_Create();
RTC_CHECK(state_);
int error = WebRtcVad_Init(state_);
RTC_DCHECK_EQ(0, error);
}
~Vad() { WebRtcVad_Free(state_); }
VadInst* state() { return state_; }
private:
VadInst* state_ = nullptr;
RTC_DISALLOW_COPY_AND_ASSIGN(Vad);
};
VoiceDetectionImpl::VoiceDetectionImpl(rtc::CriticalSection* crit)
: crit_(crit) {
RTC_DCHECK(crit);
}
VoiceDetectionImpl::~VoiceDetectionImpl() {}
void VoiceDetectionImpl::Initialize(int sample_rate_hz) {
rtc::CritScope cs(crit_);
sample_rate_hz_ = sample_rate_hz;
std::unique_ptr<Vad> new_vad;
if (enabled_) {
new_vad.reset(new Vad());
}
vad_.swap(new_vad);
using_external_vad_ = false;
frame_size_samples_ =
static_cast<size_t>(frame_size_ms_ * sample_rate_hz_) / 1000;
set_likelihood(likelihood_);
}
bool VoiceDetectionImpl::ProcessCaptureAudio(AudioBuffer* audio) {
rtc::CritScope cs(crit_);
RTC_DCHECK(enabled_);
RTC_DCHECK_GE(AudioBuffer::kMaxSplitFrameLength,
audio->num_frames_per_band());
std::array<int16_t, AudioBuffer::kMaxSplitFrameLength> mixed_low_pass_data;
rtc::ArrayView<const int16_t> mixed_low_pass(mixed_low_pass_data.data(),
audio->num_frames_per_band());
if (audio->num_channels() == 1) {
FloatS16ToS16(audio->split_bands_const(0)[kBand0To8kHz],
audio->num_frames_per_band(), mixed_low_pass_data.data());
} else {
const int num_channels = static_cast<int>(audio->num_channels());
for (size_t i = 0; i < audio->num_frames_per_band(); ++i) {
int32_t value =
FloatS16ToS16(audio->split_channels_const(kBand0To8kHz)[0][i]);
for (int j = 1; j < num_channels; ++j) {
value += FloatS16ToS16(audio->split_channels_const(kBand0To8kHz)[j][i]);
}
mixed_low_pass_data[i] = value / num_channels;
}
}
int vad_ret = WebRtcVad_Process(vad_->state(), sample_rate_hz_,
mixed_low_pass.data(), frame_size_samples_);
if (vad_ret == 0) {
stream_has_voice_ = false;
return false;
} else if (vad_ret == 1) {
stream_has_voice_ = true;
} else {
RTC_NOTREACHED();
}
return stream_has_voice_;
}
int VoiceDetectionImpl::Enable(bool enable) {
rtc::CritScope cs(crit_);
if (enabled_ != enable) {
enabled_ = enable;
Initialize(sample_rate_hz_);
}
return AudioProcessing::kNoError;
}
bool VoiceDetectionImpl::is_enabled() const {
rtc::CritScope cs(crit_);
return enabled_;
}
int VoiceDetectionImpl::set_stream_has_voice(bool has_voice) {
rtc::CritScope cs(crit_);
using_external_vad_ = true;
stream_has_voice_ = has_voice;
return AudioProcessing::kNoError;
}
bool VoiceDetectionImpl::stream_has_voice() const {
rtc::CritScope cs(crit_);
// TODO(ajm): enable this assertion?
// RTC_DCHECK(using_external_vad_ || is_component_enabled());
return stream_has_voice_;
}
int VoiceDetectionImpl::set_likelihood(VoiceDetection::Likelihood likelihood) {
rtc::CritScope cs(crit_);
likelihood_ = likelihood;
if (enabled_) {
int mode = 2;
switch (likelihood) {
case VoiceDetection::kVeryLowLikelihood:
mode = 3;
break;
case VoiceDetection::kLowLikelihood:
mode = 2;
break;
case VoiceDetection::kModerateLikelihood:
mode = 1;
break;
case VoiceDetection::kHighLikelihood:
mode = 0;
break;
default:
RTC_NOTREACHED();
break;
}
int error = WebRtcVad_set_mode(vad_->state(), mode);
RTC_DCHECK_EQ(0, error);
}
return AudioProcessing::kNoError;
}
VoiceDetection::Likelihood VoiceDetectionImpl::likelihood() const {
rtc::CritScope cs(crit_);
return likelihood_;
}
int VoiceDetectionImpl::set_frame_size_ms(int size) {
rtc::CritScope cs(crit_);
RTC_DCHECK_EQ(10, size); // TODO(ajm): remove when supported.
frame_size_ms_ = size;
Initialize(sample_rate_hz_);
return AudioProcessing::kNoError;
}
int VoiceDetectionImpl::frame_size_ms() const {
rtc::CritScope cs(crit_);
return frame_size_ms_;
}
} // namespace webrtc

69
modules/audio_processing/voice_detection_impl.h
View File

@ -1,69 +0,0 @@
/*
* Copyright (c) 2012 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 MODULES_AUDIO_PROCESSING_VOICE_DETECTION_IMPL_H_
#define MODULES_AUDIO_PROCESSING_VOICE_DETECTION_IMPL_H_
#include <stddef.h>
#include <memory>
#include "modules/audio_processing/include/audio_processing.h"
#include "rtc_base/constructor_magic.h"
#include "rtc_base/critical_section.h"
#include "rtc_base/thread_annotations.h"
namespace webrtc {
class AudioBuffer;
class VoiceDetectionImpl : public VoiceDetection {
public:
explicit VoiceDetectionImpl(rtc::CriticalSection* crit);
~VoiceDetectionImpl() override;
// TODO(peah): Fold into ctor, once public API is removed.
void Initialize(int sample_rate_hz);
// Returns the VAD activity.
bool ProcessCaptureAudio(AudioBuffer* audio);
bool using_external_vad() const {
rtc::CritScope cs(crit_);
return using_external_vad_;
}
// VoiceDetection implementation.
int Enable(bool enable) override;
bool is_enabled() const override;
int set_stream_has_voice(bool has_voice) override;
bool stream_has_voice() const override;
int set_likelihood(Likelihood likelihood) override;
Likelihood likelihood() const override;
int set_frame_size_ms(int size) override;
int frame_size_ms() const override;
private:
class Vad;
rtc::CriticalSection* const crit_;
bool enabled_ RTC_GUARDED_BY(crit_) = false;
bool stream_has_voice_ RTC_GUARDED_BY(crit_) = false;
bool using_external_vad_ RTC_GUARDED_BY(crit_) = false;
Likelihood likelihood_ RTC_GUARDED_BY(crit_) = kLowLikelihood;
int frame_size_ms_ RTC_GUARDED_BY(crit_) = 10;
size_t frame_size_samples_ RTC_GUARDED_BY(crit_) = 0;
int sample_rate_hz_ RTC_GUARDED_BY(crit_) = 0;
std::unique_ptr<Vad> vad_ RTC_GUARDED_BY(crit_);
RTC_DISALLOW_IMPLICIT_CONSTRUCTORS(VoiceDetectionImpl);
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_VOICE_DETECTION_IMPL_H_

55
modules/audio_processing/voice_detection_unittest.cc
View File

@ -13,7 +13,7 @@
#include "modules/audio_processing/audio_buffer.h"
#include "modules/audio_processing/test/audio_buffer_tools.h"
#include "modules/audio_processing/test/bitexactness_tools.h"
#include "modules/audio_processing/voice_detection_impl.h"
#include "modules/audio_processing/voice_detection.h"
#include "test/gtest.h"
namespace webrtc {
@ -22,27 +22,24 @@ namespace {
const int kNumFramesToProcess = 1000;
// Process one frame of data and produce the output.
void ProcessOneFrame(int sample_rate_hz,
bool ProcessOneFrame(int sample_rate_hz,
AudioBuffer* audio_buffer,
VoiceDetectionImpl* voice_detection) {
VoiceDetection* voice_detection) {
if (sample_rate_hz > AudioProcessing::kSampleRate16kHz) {
audio_buffer->SplitIntoFrequencyBands();
}
voice_detection->ProcessCaptureAudio(audio_buffer);
return voice_detection->ProcessCaptureAudio(audio_buffer);
}
// Processes a specified amount of frames, verifies the results and reports
// any errors.
void RunBitexactnessTest(int sample_rate_hz,
size_t num_channels,
int frame_size_ms_reference,
bool stream_has_voice_reference,
VoiceDetection::Likelihood likelihood_reference) {
rtc::CriticalSection crit_capture;
VoiceDetectionImpl voice_detection(&crit_capture);
voice_detection.Initialize(sample_rate_hz > 16000 ? 16000 : sample_rate_hz);
voice_detection.Enable(true);
bool stream_has_voice_reference) {
int sample_rate_to_use = std::min(sample_rate_hz, 16000);
VoiceDetection voice_detection(sample_rate_to_use,
VoiceDetection::kLowLikelihood);
int samples_per_channel = rtc::CheckedDivExact(sample_rate_hz, 100);
const StreamConfig capture_config(sample_rate_hz, num_channels, false);
@ -53,6 +50,7 @@ void RunBitexactnessTest(int sample_rate_hz,
test::InputAudioFile capture_file(
test::GetApmCaptureTestVectorFileName(sample_rate_hz));
std::vector<float> capture_input(samples_per_channel * num_channels);
bool stream_has_voice = false;
for (int frame_no = 0; frame_no < kNumFramesToProcess; ++frame_no) {
ReadFloatSamplesFromStereoFile(samples_per_channel, num_channels,
&capture_file, capture_input);
@ -60,64 +58,47 @@ void RunBitexactnessTest(int sample_rate_hz,
test::CopyVectorToAudioBuffer(capture_config, capture_input,
&capture_buffer);
stream_has_voice =
ProcessOneFrame(sample_rate_hz, &capture_buffer, &voice_detection);
}
int frame_size_ms = voice_detection.frame_size_ms();
bool stream_has_voice = voice_detection.stream_has_voice();
VoiceDetection::Likelihood likelihood = voice_detection.likelihood();
// Compare the outputs to the references.
EXPECT_EQ(frame_size_ms_reference, frame_size_ms);
EXPECT_EQ(stream_has_voice_reference, stream_has_voice);
EXPECT_EQ(likelihood_reference, likelihood);
}
const int kFrameSizeMsReference = 10;
const bool kStreamHasVoiceReference = true;
const VoiceDetection::Likelihood kLikelihoodReference =
VoiceDetection::kLowLikelihood;
} // namespace
TEST(VoiceDetectionBitExactnessTest, Mono8kHz) {
RunBitexactnessTest(8000, 1, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(8000, 1, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Mono16kHz) {
RunBitexactnessTest(16000, 1, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(16000, 1, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Mono32kHz) {
RunBitexactnessTest(32000, 1, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(32000, 1, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Mono48kHz) {
RunBitexactnessTest(48000, 1, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(48000, 1, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Stereo8kHz) {
RunBitexactnessTest(8000, 2, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(8000, 2, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Stereo16kHz) {
RunBitexactnessTest(16000, 2, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(16000, 2, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Stereo32kHz) {
RunBitexactnessTest(32000, 2, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(32000, 2, kStreamHasVoiceReference);
}
TEST(VoiceDetectionBitExactnessTest, Stereo48kHz) {
RunBitexactnessTest(48000, 2, kFrameSizeMsReference, kStreamHasVoiceReference,
kLikelihoodReference);
RunBitexactnessTest(48000, 2, kStreamHasVoiceReference);
}
} // namespace webrtc

2
resources/audio_processing/output_data_fixed.pb.sha1
View File

@ -1 +1 @@
e540fa8940b41d0cda26cdef937be3a455a04be7
e9569d846d21e027bfdcae76a40146bc10d49d54

2
resources/audio_processing/output_data_float.pb.sha1
View File

@ -1 +1 @@
2811f534082857ac9b9447a3e53028ef11851052
53dd63154cc2694a3425596d9a8300fa2c66215d

2
resources/audio_processing/output_data_mac.pb.sha1
View File

@ -1 +1 @@
cc82c345f1e7ef17b12c2da41a0a9f73b09ca8f6
2b31852bbce2b0b19ee36c47b18352e035cb08c5

1
test/fuzzers/audio_processing_configs_fuzzer.cc
View File

@ -145,7 +145,6 @@ std::unique_ptr<AudioProcessing> CreateApm(test::FuzzDataHelper* fuzz_data,
apm->ApplyConfig(apm_config);
apm->level_estimator()->Enable(use_le);
apm->voice_detection()->Enable(use_vad);
return apm;
}