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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 <optional>
#include <vector>
#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(const Environment& env,
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,
ArrayView<const std::vector<std::array<float, kFftLengthBy2Plus1>>>
filter_frequency_responses,
ArrayView<const float, kFftLengthBy2Plus1>
avg_render_spectrum_with_reverb,
ArrayView<const std::array<float, kFftLengthBy2Plus1>> capture_spectra,
ArrayView<const std::array<float, kFftLengthBy2Plus1>> subtractor_spectra,
const std::vector<bool>& converged_filters);
// Returns the most recent subband ERLE estimates.
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.
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).
ArrayView<const std::array<float, kFftLengthBy2Plus1>> ErleDuringOnsets()
const {
return subband_erle_estimator_.ErleDuringOnsets();
}
// 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.
ArrayView<const std::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_
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