Jesús de Vicente Peña 075cb2b2f7 AEC3: Changes to how the reverberation decay is applied.
In this work we introduce some changes on how the reverberation model for AEC3 is applied. Currently, the exponential modelling of the tails is applied over the linear echo estimates. That might result  in an overestimation of the reverberation tails under certain conditions. In this work, the reverberation model is instead applied over an estimate of the energies at the tails of the linear estimate.

Additionally, the stationary estimator is changed so it does not disable the aec immediately after a burst of activity.

Bug: webrtc:9384,webrtc:9400,chromium:852257
Change-Id: Ia486694ed326cfe231fc688877c0b9b6e2c450ff
Reviewed-on: https://webrtc-review.googlesource.com/82161
Reviewed-by: Per Åhgren <peah@webrtc.org>
Commit-Queue: Jesus de Vicente Pena <devicentepena@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#23599}
2018-06-13 14:54:04 +00:00

294 lines
11 KiB
C++

/*
* Copyright (c) 2017 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/aec3/echo_remover.h"
#include <math.h>
#include <algorithm>
#include <memory>
#include <numeric>
#include <string>
#include "api/array_view.h"
#include "modules/audio_processing/aec3/aec3_common.h"
#include "modules/audio_processing/aec3/aec_state.h"
#include "modules/audio_processing/aec3/comfort_noise_generator.h"
#include "modules/audio_processing/aec3/echo_path_variability.h"
#include "modules/audio_processing/aec3/echo_remover_metrics.h"
#include "modules/audio_processing/aec3/fft_data.h"
#include "modules/audio_processing/aec3/render_buffer.h"
#include "modules/audio_processing/aec3/render_delay_buffer.h"
#include "modules/audio_processing/aec3/residual_echo_estimator.h"
#include "modules/audio_processing/aec3/subtractor.h"
#include "modules/audio_processing/aec3/suppression_filter.h"
#include "modules/audio_processing/aec3/suppression_gain.h"
#include "modules/audio_processing/logging/apm_data_dumper.h"
#include "rtc_base/atomicops.h"
#include "rtc_base/constructormagic.h"
namespace webrtc {
namespace {
void LinearEchoPower(const FftData& E,
const FftData& Y,
std::array<float, kFftLengthBy2Plus1>* S2) {
for (size_t k = 0; k < E.re.size(); ++k) {
(*S2)[k] = (Y.re[k] - E.re[k]) * (Y.re[k] - E.re[k]) +
(Y.im[k] - E.im[k]) * (Y.im[k] - E.im[k]);
}
}
// Computes a windowed (square root Hanning) padded FFT and updates the related
// memory.
void WindowedPaddedFft(const Aec3Fft& fft,
rtc::ArrayView<const float> v,
rtc::ArrayView<float> v_old,
FftData* V) {
fft.PaddedFft(v, v_old, Aec3Fft::Window::kSqrtHanning, V);
std::copy(v.begin(), v.end(), v_old.begin());
}
// Class for removing the echo from the capture signal.
class EchoRemoverImpl final : public EchoRemover {
public:
EchoRemoverImpl(const EchoCanceller3Config& config, int sample_rate_hz);
~EchoRemoverImpl() override;
void GetMetrics(EchoControl::Metrics* metrics) const override;
// Removes the echo from a block of samples from the capture signal. The
// supplied render signal is assumed to be pre-aligned with the capture
// signal.
void ProcessCapture(const EchoPathVariability& echo_path_variability,
bool capture_signal_saturation,
const rtc::Optional<DelayEstimate>& external_delay,
RenderBuffer* render_buffer,
std::vector<std::vector<float>>* capture) override;
// Returns the internal delay estimate in blocks.
rtc::Optional<int> Delay() const override {
// TODO(peah): Remove or reactivate this functionality.
return rtc::nullopt;
}
// Updates the status on whether echo leakage is detected in the output of the
// echo remover.
void UpdateEchoLeakageStatus(bool leakage_detected) override {
echo_leakage_detected_ = leakage_detected;
}
private:
static int instance_count_;
const EchoCanceller3Config config_;
const Aec3Fft fft_;
std::unique_ptr<ApmDataDumper> data_dumper_;
const Aec3Optimization optimization_;
const int sample_rate_hz_;
Subtractor subtractor_;
SuppressionGain suppression_gain_;
ComfortNoiseGenerator cng_;
SuppressionFilter suppression_filter_;
RenderSignalAnalyzer render_signal_analyzer_;
ResidualEchoEstimator residual_echo_estimator_;
bool echo_leakage_detected_ = false;
AecState aec_state_;
EchoRemoverMetrics metrics_;
bool initial_state_ = true;
std::array<float, kFftLengthBy2> e_old_;
std::array<float, kFftLengthBy2> x_old_;
std::array<float, kFftLengthBy2> y_old_;
RTC_DISALLOW_COPY_AND_ASSIGN(EchoRemoverImpl);
};
int EchoRemoverImpl::instance_count_ = 0;
EchoRemoverImpl::EchoRemoverImpl(const EchoCanceller3Config& config,
int sample_rate_hz)
: config_(config),
fft_(),
data_dumper_(
new ApmDataDumper(rtc::AtomicOps::Increment(&instance_count_))),
optimization_(DetectOptimization()),
sample_rate_hz_(sample_rate_hz),
subtractor_(config, data_dumper_.get(), optimization_),
suppression_gain_(config_, optimization_, sample_rate_hz),
cng_(optimization_),
suppression_filter_(sample_rate_hz_),
render_signal_analyzer_(config_),
residual_echo_estimator_(config_),
aec_state_(config_) {
RTC_DCHECK(ValidFullBandRate(sample_rate_hz));
x_old_.fill(0.f);
y_old_.fill(0.f);
e_old_.fill(0.f);
}
EchoRemoverImpl::~EchoRemoverImpl() = default;
void EchoRemoverImpl::GetMetrics(EchoControl::Metrics* metrics) const {
// Echo return loss (ERL) is inverted to go from gain to attenuation.
metrics->echo_return_loss = -10.0 * log10(aec_state_.ErlTimeDomain());
metrics->echo_return_loss_enhancement =
10.0 * log10(aec_state_.ErleTimeDomain());
}
void EchoRemoverImpl::ProcessCapture(
const EchoPathVariability& echo_path_variability,
bool capture_signal_saturation,
const rtc::Optional<DelayEstimate>& external_delay,
RenderBuffer* render_buffer,
std::vector<std::vector<float>>* capture) {
const std::vector<std::vector<float>>& x = render_buffer->Block(0);
std::vector<std::vector<float>>* y = capture;
RTC_DCHECK(render_buffer);
RTC_DCHECK(y);
RTC_DCHECK_EQ(x.size(), NumBandsForRate(sample_rate_hz_));
RTC_DCHECK_EQ(y->size(), NumBandsForRate(sample_rate_hz_));
RTC_DCHECK_EQ(x[0].size(), kBlockSize);
RTC_DCHECK_EQ((*y)[0].size(), kBlockSize);
const std::vector<float>& x0 = x[0];
std::vector<float>& y0 = (*y)[0];
data_dumper_->DumpWav("aec3_echo_remover_capture_input", kBlockSize, &y0[0],
LowestBandRate(sample_rate_hz_), 1);
data_dumper_->DumpWav("aec3_echo_remover_render_input", kBlockSize, &x0[0],
LowestBandRate(sample_rate_hz_), 1);
data_dumper_->DumpRaw("aec3_echo_remover_capture_input", y0);
data_dumper_->DumpRaw("aec3_echo_remover_render_input", x0);
aec_state_.UpdateCaptureSaturation(capture_signal_saturation);
if (echo_path_variability.AudioPathChanged()) {
subtractor_.HandleEchoPathChange(echo_path_variability);
aec_state_.HandleEchoPathChange(echo_path_variability);
suppression_gain_.SetInitialState(true);
initial_state_ = true;
}
std::array<float, kFftLengthBy2Plus1> Y2;
std::array<float, kFftLengthBy2Plus1> E2;
std::array<float, kFftLengthBy2Plus1> R2;
std::array<float, kFftLengthBy2Plus1> S2_linear;
std::array<float, kFftLengthBy2Plus1> G;
float high_bands_gain;
FftData Y;
FftData E;
FftData comfort_noise;
FftData high_band_comfort_noise;
SubtractorOutput subtractor_output;
// Analyze the render signal.
render_signal_analyzer_.Update(*render_buffer,
aec_state_.FilterDelayBlocks());
// Perform linear echo cancellation.
if (initial_state_ && !aec_state_.InitialState()) {
subtractor_.ExitInitialState();
suppression_gain_.SetInitialState(false);
initial_state_ = false;
}
// If the delay is known, use the echo subtractor.
subtractor_.Process(*render_buffer, y0, render_signal_analyzer_, aec_state_,
&subtractor_output);
const auto& e = subtractor_output.e_main;
// Compute spectra.
WindowedPaddedFft(fft_, y0, y_old_, &Y);
WindowedPaddedFft(fft_, e, e_old_, &E);
LinearEchoPower(E, Y, &S2_linear);
Y.Spectrum(optimization_, Y2);
E.Spectrum(optimization_, E2);
// Update the AEC state information.
aec_state_.Update(external_delay, subtractor_.FilterFrequencyResponse(),
subtractor_.FilterImpulseResponse(),
subtractor_.ConvergedFilter(), subtractor_.DivergedFilter(),
*render_buffer, E2, Y2, subtractor_output.s_main);
// Compute spectra.
const bool suppression_gain_uses_ffts =
config_.suppressor.bands_with_reliable_coherence > 0;
FftData X;
if (suppression_gain_uses_ffts) {
auto& x_aligned = render_buffer->Block(-aec_state_.FilterDelayBlocks())[0];
WindowedPaddedFft(fft_, x_aligned, x_old_, &X);
} else {
X.Clear();
}
// Choose the linear output.
data_dumper_->DumpWav("aec3_output_linear2", kBlockSize, &e[0],
LowestBandRate(sample_rate_hz_), 1);
if (aec_state_.UseLinearFilterOutput()) {
std::copy(e.begin(), e.end(), y0.begin());
}
const auto& Y_fft = aec_state_.UseLinearFilterOutput() ? E : Y;
data_dumper_->DumpWav("aec3_output_linear", kBlockSize, &y0[0],
LowestBandRate(sample_rate_hz_), 1);
// Estimate the residual echo power.
residual_echo_estimator_.Estimate(aec_state_, *render_buffer, S2_linear, Y2,
&R2);
// Estimate the comfort noise.
cng_.Compute(aec_state_, Y2, &comfort_noise, &high_band_comfort_noise);
// Compute and apply the suppression gain.
suppression_gain_.GetGain(E2, R2, cng_.NoiseSpectrum(), E, X, Y,
render_signal_analyzer_, aec_state_, x,
&high_bands_gain, &G);
suppression_filter_.ApplyGain(comfort_noise, high_band_comfort_noise, G,
high_bands_gain, Y_fft, y);
// Update the metrics.
metrics_.Update(aec_state_, cng_.NoiseSpectrum(), G);
// Debug outputs for the purpose of development and analysis.
data_dumper_->DumpWav("aec3_echo_estimate", kBlockSize,
&subtractor_output.s_main[0],
LowestBandRate(sample_rate_hz_), 1);
data_dumper_->DumpRaw("aec3_output", y0);
data_dumper_->DumpRaw("aec3_narrow_render",
render_signal_analyzer_.NarrowPeakBand() ? 1 : 0);
data_dumper_->DumpRaw("aec3_N2", cng_.NoiseSpectrum());
data_dumper_->DumpRaw("aec3_suppressor_gain", G);
data_dumper_->DumpWav("aec3_output",
rtc::ArrayView<const float>(&y0[0], kBlockSize),
LowestBandRate(sample_rate_hz_), 1);
data_dumper_->DumpRaw("aec3_using_subtractor_output",
aec_state_.UseLinearFilterOutput() ? 1 : 0);
data_dumper_->DumpRaw("aec3_E2", E2);
data_dumper_->DumpRaw("aec3_S2_linear", S2_linear);
data_dumper_->DumpRaw("aec3_Y2", Y2);
data_dumper_->DumpRaw(
"aec3_X2", render_buffer->Spectrum(aec_state_.FilterDelayBlocks()));
data_dumper_->DumpRaw("aec3_R2", R2);
data_dumper_->DumpRaw("aec3_R2_reverb",
residual_echo_estimator_.GetReverbPowerSpectrum());
data_dumper_->DumpRaw("aec3_filter_delay", aec_state_.FilterDelayBlocks());
data_dumper_->DumpRaw("aec3_capture_saturation",
aec_state_.SaturatedCapture() ? 1 : 0);
}
} // namespace
EchoRemover* EchoRemover::Create(const EchoCanceller3Config& config,
int sample_rate_hz) {
return new EchoRemoverImpl(config, sample_rate_hz);
}
} // namespace webrtc