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/*
* 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.
*/
#ifndef MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_
#define MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_
#include <stddef.h>
#include <array>
#include <memory>
#include <vector>
#include "absl/types/optional.h"
#include "api/array_view.h"
#include "api/audio/echo_canceller3_config.h"
#include "modules/audio_processing/aec3/aec3_common.h"
#include "modules/audio_processing/aec3/fullband_erle_estimator.h"
#include "modules/audio_processing/aec3/render_buffer.h"
#include "modules/audio_processing/aec3/signal_dependent_erle_estimator.h"
#include "modules/audio_processing/aec3/subband_erle_estimator.h"
#include "modules/audio_processing/logging/apm_data_dumper.h"
namespace webrtc {
// Estimates the echo return loss enhancement. One estimate is done per subband
// and another one is done using the aggreation of energy over all the subbands.
class ErleEstimator {
public:
ErleEstimator(size_t startup_phase_length_blocks,
const EchoCanceller3Config& config,
size_t num_capture_channels);
~ErleEstimator();
// Resets the fullband ERLE estimator and the subbands ERLE estimators.
void Reset(bool delay_change);
// Updates the ERLE estimates.
void Update(
const RenderBuffer& render_buffer,
rtc::ArrayView<const std::vector<std::array<float, kFftLengthBy2Plus1>>>
filter_frequency_responses,
rtc::ArrayView<const float, kFftLengthBy2Plus1>
avg_render_spectrum_with_reverb,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>>
capture_spectra,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>>
subtractor_spectra,
const std::vector<bool>& converged_filters);
// Returns the most recent subband ERLE estimates.
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Erle(
bool onset_compensated) const {
return signal_dependent_erle_estimator_
? signal_dependent_erle_estimator_->Erle(onset_compensated)
: subband_erle_estimator_.Erle(onset_compensated);
}
// Returns the non-capped subband ERLE.
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> ErleUnbounded()
const {
// Unbounded ERLE is only used with the subband erle estimator where the
// ERLE is often capped at low values. When the signal dependent ERLE
// estimator is used the capped ERLE is returned.
return !signal_dependent_erle_estimator_
? subband_erle_estimator_.ErleUnbounded()
: signal_dependent_erle_estimator_->Erle(
/*onset_compensated=*/false);
}
// Returns the subband ERLE that are estimated during onsets (only used for
// testing).
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> ErleDuringOnsets()
const {
return subband_erle_estimator_.ErleDuringOnsets();
Improves in the ERLE estimation for AEC3 The estimation on how well the linear filter in the AEC3 is performing is done through an estimation of the ERLE. That estimation is then used for knowing how much the suppressor needs to react in order to cancel all the echoes. In the current code, the ERLE is quite conservative during farend inactivity and it is common that it goes to a minimum value during those periods. Under highly varying conditions, that is probably the right approach. However, in other scenarios where conditions does not change that fast there is a loss in transparency that could be avoided by means of a different ERLE estimation. In the current CL, the ERLE estimation has been changed in the following way: - During farend activity the ERLE is estimated through a 1st order AR smoother. This smoother goes faster toward lower ERLE values than to larger ones in order to avoid overestimation of this value. Furthermore, during the beginning of the farend burst, an estimation of the ERLE is done that aim to represent the performance of the linear filter during onsets. Under highly variant environments, those quantities, the ERLE during onsets and the one computed during the whole farend duration, would differ a lot. If the environment is more stationary, those quantities would be much more similar. - During nearend activity the ERLE estimation is decreased toward a value of the ERLE during onsets. Bug: webrtc:9040 Change-Id: Ieab86370a4333d2d0cd7041047d29651de4f6827 Reviewed-on: https://webrtc-review.googlesource.com/62342 Commit-Queue: Jesus de Vicente Pena <devicentepena@webrtc.org> Reviewed-by: Per Åhgren <peah@webrtc.org> Cr-Commit-Position: refs/heads/master@{#22568}
2018-03-22 14:53:23 +01:00
}
// Returns the fullband ERLE estimate.
float FullbandErleLog2() const {
return fullband_erle_estimator_.FullbandErleLog2();
}
// Returns an estimation of the current linear filter quality based on the
// current and past fullband ERLE estimates. The returned value is a float
// vector with content between 0 and 1 where 1 indicates that, at this current
// time instant, the linear filter is reaching its maximum subtraction
// performance.
rtc::ArrayView<const absl::optional<float>> GetInstLinearQualityEstimates()
const {
return fullband_erle_estimator_.GetInstLinearQualityEstimates();
}
void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const;
private:
const size_t startup_phase_length_blocks_;
FullBandErleEstimator fullband_erle_estimator_;
SubbandErleEstimator subband_erle_estimator_;
std::unique_ptr<SignalDependentErleEstimator>
signal_dependent_erle_estimator_;
size_t blocks_since_reset_ = 0;
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_