webrtc/modules/audio_processing/aec3/aec_state.cc
Per Åhgren ef5d5af3a0 AEC3: Increasing the accuracy of the detection for early reverb
This CL introduces an adaptive estimation of the early reverb
in the estimation for the room reverberation. The benefits of
this is that for room with long early reflections there is
a lower risk of underestimating the reverberation.

This CL is for a landing the code in
https://webrtc-review.googlesource.com/c/src/+/87420,
and the review of the code was done in that CL. The author of
code is devicentepena@webrtc.org

Bug: webrtc:9479, chromium:865397
Change-Id: Id6f57e2a684664aef96e8c502e66775f37da59da
Reviewed-on: https://webrtc-review.googlesource.com/91162
Commit-Queue: Per Åhgren <peah@webrtc.org>
Reviewed-by: Sam Zackrisson <saza@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#24146}
2018-07-30 22:34:19 +00:00

372 lines
14 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/aec_state.h"
#include <math.h>
#include <numeric>
#include <vector>
#include "absl/types/optional.h"
#include "api/array_view.h"
#include "modules/audio_processing/aec3/aec3_common.h"
#include "modules/audio_processing/logging/apm_data_dumper.h"
#include "rtc_base/atomicops.h"
#include "rtc_base/checks.h"
#include "system_wrappers/include/field_trial.h"
namespace webrtc {
namespace {
bool EnableTransparentMode() {
return !field_trial::IsEnabled("WebRTC-Aec3TransparentModeKillSwitch");
}
bool EnableStationaryRenderImprovements() {
return !field_trial::IsEnabled(
"WebRTC-Aec3StationaryRenderImprovementsKillSwitch");
}
bool EnableEnforcingDelayAfterRealignment() {
return !field_trial::IsEnabled(
"WebRTC-Aec3EnforceDelayAfterRealignmentKillSwitch");
}
bool EnableLinearModeWithDivergedFilter() {
return !field_trial::IsEnabled(
"WebRTC-Aec3LinearModeWithDivergedFilterKillSwitch");
}
bool EnableEarlyFilterUsage() {
return !field_trial::IsEnabled("WebRTC-Aec3EarlyLinearFilterUsageKillSwitch");
}
bool EnableShortInitialState() {
return !field_trial::IsEnabled("WebRTC-Aec3ShortInitialStateKillSwitch");
}
float ComputeGainRampupIncrease(const EchoCanceller3Config& config) {
const auto& c = config.echo_removal_control.gain_rampup;
return powf(1.f / c.first_non_zero_gain, 1.f / c.non_zero_gain_blocks);
}
constexpr size_t kBlocksSinceConvergencedFilterInit = 10000;
constexpr size_t kBlocksSinceConsistentEstimateInit = 10000;
} // namespace
int AecState::instance_count_ = 0;
AecState::AecState(const EchoCanceller3Config& config)
: data_dumper_(
new ApmDataDumper(rtc::AtomicOps::Increment(&instance_count_))),
config_(config),
allow_transparent_mode_(EnableTransparentMode()),
use_stationary_properties_(
EnableStationaryRenderImprovements() &&
config_.echo_audibility.use_stationary_properties),
enforce_delay_after_realignment_(EnableEnforcingDelayAfterRealignment()),
allow_linear_mode_with_diverged_filter_(
EnableLinearModeWithDivergedFilter()),
early_filter_usage_activated_(EnableEarlyFilterUsage()),
use_short_initial_state_(EnableShortInitialState()),
erle_estimator_(config.erle.min, config.erle.max_l, config.erle.max_h),
max_render_(config_.filter.main.length_blocks, 0.f),
gain_rampup_increase_(ComputeGainRampupIncrease(config_)),
suppression_gain_limiter_(config_),
filter_analyzer_(config_),
blocks_since_converged_filter_(kBlocksSinceConvergencedFilterInit),
active_blocks_since_consistent_filter_estimate_(
kBlocksSinceConsistentEstimateInit),
reverb_model_estimator_(config) {}
AecState::~AecState() = default;
void AecState::HandleEchoPathChange(
const EchoPathVariability& echo_path_variability) {
const auto full_reset = [&]() {
filter_analyzer_.Reset();
blocks_since_last_saturation_ = 0;
usable_linear_estimate_ = false;
diverged_linear_filter_ = false;
capture_signal_saturation_ = false;
echo_saturation_ = false;
std::fill(max_render_.begin(), max_render_.end(), 0.f);
blocks_with_proper_filter_adaptation_ = 0;
blocks_since_reset_ = 0;
filter_has_had_time_to_converge_ = false;
render_received_ = false;
blocks_with_active_render_ = 0;
initial_state_ = true;
suppression_gain_limiter_.Reset();
blocks_since_converged_filter_ = kBlocksSinceConvergencedFilterInit;
diverged_blocks_ = 0;
};
// TODO(peah): Refine the reset scheme according to the type of gain and
// delay adjustment.
if (echo_path_variability.delay_change !=
EchoPathVariability::DelayAdjustment::kNone) {
full_reset();
}
subtractor_output_analyzer_.HandleEchoPathChange();
}
void AecState::Update(
const absl::optional<DelayEstimate>& external_delay,
const std::vector<std::array<float, kFftLengthBy2Plus1>>&
adaptive_filter_frequency_response,
const std::vector<float>& adaptive_filter_impulse_response,
const RenderBuffer& render_buffer,
const std::array<float, kFftLengthBy2Plus1>& E2_main,
const std::array<float, kFftLengthBy2Plus1>& Y2,
const SubtractorOutput& subtractor_output,
rtc::ArrayView<const float> y) {
// Analyze the filter output.
subtractor_output_analyzer_.Update(subtractor_output);
const bool converged_filter = subtractor_output_analyzer_.ConvergedFilter();
const bool diverged_filter = subtractor_output_analyzer_.DivergedFilter();
// Analyze the filter and compute the delays.
filter_analyzer_.Update(adaptive_filter_impulse_response,
adaptive_filter_frequency_response, render_buffer);
filter_delay_blocks_ = filter_analyzer_.DelayBlocks();
if (enforce_delay_after_realignment_) {
if (external_delay &&
(!external_delay_ || external_delay_->delay != external_delay->delay)) {
frames_since_external_delay_change_ = 0;
external_delay_ = external_delay;
}
if (blocks_with_proper_filter_adaptation_ < 2 * kNumBlocksPerSecond &&
external_delay_) {
filter_delay_blocks_ = config_.delay.delay_headroom_blocks;
}
}
if (filter_analyzer_.Consistent()) {
internal_delay_ = filter_analyzer_.DelayBlocks();
} else {
internal_delay_ = absl::nullopt;
}
external_delay_seen_ = external_delay_seen_ || external_delay;
const std::vector<float>& x = render_buffer.Block(-filter_delay_blocks_)[0];
// Update counters.
++capture_block_counter_;
++blocks_since_reset_;
const bool active_render_block = DetectActiveRender(x);
blocks_with_active_render_ += active_render_block ? 1 : 0;
blocks_with_proper_filter_adaptation_ +=
active_render_block && !SaturatedCapture() ? 1 : 0;
// Update the limit on the echo suppression after an echo path change to avoid
// an initial echo burst.
suppression_gain_limiter_.Update(render_buffer.GetRenderActivity(),
transparent_mode_);
if (UseStationaryProperties()) {
// Update the echo audibility evaluator.
echo_audibility_.Update(
render_buffer, FilterDelayBlocks(), external_delay_seen_,
config_.ep_strength.reverb_based_on_render ? ReverbDecay() : 0.f);
}
// Update the ERL and ERLE measures.
if (blocks_since_reset_ >= 2 * kNumBlocksPerSecond) {
const auto& X2 = render_buffer.Spectrum(filter_delay_blocks_);
erle_estimator_.Update(X2, Y2, E2_main, converged_filter);
if (converged_filter) {
erl_estimator_.Update(X2, Y2);
}
}
// Detect and flag echo saturation.
// TODO(peah): Add the delay in this computation to ensure that the render and
// capture signals are properly aligned.
if (config_.ep_strength.echo_can_saturate) {
echo_saturation_ = DetectEchoSaturation(x, EchoPathGain());
}
bool filter_has_had_time_to_converge;
if (early_filter_usage_activated_) {
filter_has_had_time_to_converge =
blocks_with_proper_filter_adaptation_ >= 0.8f * kNumBlocksPerSecond;
} else {
filter_has_had_time_to_converge =
blocks_with_proper_filter_adaptation_ >= 1.5f * kNumBlocksPerSecond;
}
if (!filter_should_have_converged_) {
filter_should_have_converged_ =
blocks_with_proper_filter_adaptation_ > 6 * kNumBlocksPerSecond;
}
// Flag whether the initial state is still active.
if (use_short_initial_state_) {
initial_state_ =
blocks_with_proper_filter_adaptation_ < 2.5f * kNumBlocksPerSecond;
} else {
initial_state_ =
blocks_with_proper_filter_adaptation_ < 5 * kNumBlocksPerSecond;
}
// Update counters for the filter divergence and convergence.
diverged_blocks_ = diverged_filter ? diverged_blocks_ + 1 : 0;
if (diverged_blocks_ >= 60) {
blocks_since_converged_filter_ = kBlocksSinceConvergencedFilterInit;
} else {
blocks_since_converged_filter_ =
converged_filter ? 0 : blocks_since_converged_filter_ + 1;
}
if (converged_filter) {
active_blocks_since_converged_filter_ = 0;
} else if (active_render_block) {
++active_blocks_since_converged_filter_;
}
bool recently_converged_filter =
blocks_since_converged_filter_ < 60 * kNumBlocksPerSecond;
if (blocks_since_converged_filter_ > 20 * kNumBlocksPerSecond) {
converged_filter_count_ = 0;
} else if (converged_filter) {
++converged_filter_count_;
}
if (converged_filter_count_ > 50) {
finite_erl_ = true;
}
if (filter_analyzer_.Consistent() && filter_delay_blocks_ < 5) {
consistent_filter_seen_ = true;
active_blocks_since_consistent_filter_estimate_ = 0;
} else if (active_render_block) {
++active_blocks_since_consistent_filter_estimate_;
}
bool consistent_filter_estimate_not_seen;
if (!consistent_filter_seen_) {
consistent_filter_estimate_not_seen =
capture_block_counter_ > 5 * kNumBlocksPerSecond;
} else {
consistent_filter_estimate_not_seen =
active_blocks_since_consistent_filter_estimate_ >
30 * kNumBlocksPerSecond;
}
converged_filter_seen_ = converged_filter_seen_ || converged_filter;
// If no filter convergence is seen for a long time, reset the estimated
// properties of the echo path.
if (active_blocks_since_converged_filter_ > 60 * kNumBlocksPerSecond) {
converged_filter_seen_ = false;
finite_erl_ = false;
}
// After an amount of active render samples for which an echo should have been
// detected in the capture signal if the ERL was not infinite, flag that a
// transparent mode should be entered.
transparent_mode_ = !config_.ep_strength.bounded_erl && !finite_erl_;
transparent_mode_ =
transparent_mode_ &&
(consistent_filter_estimate_not_seen || !converged_filter_seen_);
transparent_mode_ = transparent_mode_ && filter_should_have_converged_;
transparent_mode_ = transparent_mode_ && allow_transparent_mode_;
usable_linear_estimate_ = !echo_saturation_;
usable_linear_estimate_ =
usable_linear_estimate_ && filter_has_had_time_to_converge;
usable_linear_estimate_ = usable_linear_estimate_ && external_delay;
if (!config_.echo_removal_control.linear_and_stable_echo_path) {
usable_linear_estimate_ =
usable_linear_estimate_ && recently_converged_filter;
if (!allow_linear_mode_with_diverged_filter_) {
usable_linear_estimate_ = usable_linear_estimate_ && !diverged_filter;
}
}
use_linear_filter_output_ = usable_linear_estimate_ && !TransparentMode();
diverged_linear_filter_ = diverged_filter;
const bool stationary_block =
use_stationary_properties_ && echo_audibility_.IsBlockStationary();
reverb_model_estimator_.Update(
filter_analyzer_.GetAdjustedFilter(), adaptive_filter_frequency_response,
erle_estimator_.GetInstLinearQualityEstimate(), filter_delay_blocks_,
usable_linear_estimate_, stationary_block);
erle_estimator_.Dump(data_dumper_);
reverb_model_estimator_.Dump(data_dumper_.get());
data_dumper_->DumpRaw("aec3_erl", Erl());
data_dumper_->DumpRaw("aec3_erl_time_domain", ErlTimeDomain());
data_dumper_->DumpRaw("aec3_usable_linear_estimate", UsableLinearEstimate());
data_dumper_->DumpRaw("aec3_transparent_mode", transparent_mode_);
data_dumper_->DumpRaw("aec3_state_internal_delay",
internal_delay_ ? *internal_delay_ : -1);
data_dumper_->DumpRaw("aec3_filter_delay", filter_analyzer_.DelayBlocks());
data_dumper_->DumpRaw("aec3_consistent_filter",
filter_analyzer_.Consistent());
data_dumper_->DumpRaw("aec3_suppression_gain_limit", SuppressionGainLimit());
data_dumper_->DumpRaw("aec3_initial_state", InitialState());
data_dumper_->DumpRaw("aec3_capture_saturation", SaturatedCapture());
data_dumper_->DumpRaw("aec3_echo_saturation", echo_saturation_);
data_dumper_->DumpRaw("aec3_converged_filter", converged_filter);
data_dumper_->DumpRaw("aec3_diverged_filter", diverged_filter);
data_dumper_->DumpRaw("aec3_external_delay_avaliable",
external_delay ? 1 : 0);
data_dumper_->DumpRaw("aec3_consistent_filter_estimate_not_seen",
consistent_filter_estimate_not_seen);
data_dumper_->DumpRaw("aec3_filter_should_have_converged",
filter_should_have_converged_);
data_dumper_->DumpRaw("aec3_filter_has_had_time_to_converge",
filter_has_had_time_to_converge);
data_dumper_->DumpRaw("aec3_recently_converged_filter",
recently_converged_filter);
data_dumper_->DumpRaw("aec3_suppresion_gain_limiter_running",
IsSuppressionGainLimitActive());
data_dumper_->DumpRaw("aec3_filter_tail_freq_resp_est",
GetReverbFrequencyResponse());
}
bool AecState::DetectActiveRender(rtc::ArrayView<const float> x) const {
const float x_energy = std::inner_product(x.begin(), x.end(), x.begin(), 0.f);
return x_energy > (config_.render_levels.active_render_limit *
config_.render_levels.active_render_limit) *
kFftLengthBy2;
}
bool AecState::DetectEchoSaturation(rtc::ArrayView<const float> x,
float echo_path_gain) {
RTC_DCHECK_LT(0, x.size());
const float max_sample = fabs(*std::max_element(
x.begin(), x.end(), [](float a, float b) { return a * a < b * b; }));
// Set flag for potential presence of saturated echo
const float kMargin = 10.f;
float peak_echo_amplitude = max_sample * echo_path_gain * kMargin;
if (SaturatedCapture() && peak_echo_amplitude > 32000) {
blocks_since_last_saturation_ = 0;
} else {
++blocks_since_last_saturation_;
}
return blocks_since_last_saturation_ < 5;
}
} // namespace webrtc