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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 "absl/types/optional.h"
#include "api/array_view.h"
#include "modules/audio_processing/aec3/aec3_common.h"
#include "modules/audio_processing/aec3/fullband_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_,
float min_erle,
float max_erle_lf,
float max_erle_hf);
~ErleEstimator();
// Resets the fullband ERLE estimator and the subbands ERLE estimators.
void Reset(bool delay_change);
// Updates the ERLE estimates.
void Update(rtc::ArrayView<const float> reverb_render_spectrum,
rtc::ArrayView<const float> capture_spectrum,
rtc::ArrayView<const float> subtractor_spectrum,
bool converged_filter,
bool onset_detection);
// Returns the most recent subband ERLE estimates.
const std::array<float, kFftLengthBy2Plus1>& Erle() const {
return subband_erle_estimator_.Erle();
}
// Returns the subband ERLE that are estimated during onsets. Used
// for logging/testing.
const std::array<float, kFftLengthBy2Plus1>& ErleOnsets() const {
return subband_erle_estimator_.ErleOnsets();
}
// 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
// between 0 and 1 where 1 indicates that, at this current time instant, the
// linear filter is reaching its maximum subtraction performance.
absl::optional<float> GetInstLinearQualityEstimate() const {
return fullband_erle_estimator_.GetInstLinearQualityEstimate();
}
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_;
size_t blocks_since_reset_ = 0;
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_