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/*
* Copyright (c) 2018 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_FULLBAND_ERLE_ESTIMATOR_H_
#define MODULES_AUDIO_PROCESSING_AEC3_FULLBAND_ERLE_ESTIMATOR_H_
#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/logging/apm_data_dumper.h"
namespace webrtc {
// Estimates the echo return loss enhancement using the energy of all the
// freuquency bands.
class FullBandErleEstimator {
public:
FullBandErleEstimator(const EchoCanceller3Config::Erle& config,
size_t num_capture_channels);
~FullBandErleEstimator();
// Resets the ERLE estimator.
void Reset();
// Updates the ERLE estimator.
void Update(ArrayView<const float> X2,
ArrayView<const std::array<float, kFftLengthBy2Plus1>> Y2,
ArrayView<const std::array<float, kFftLengthBy2Plus1>> E2,
const std::vector<bool>& converged_filters);
// Returns the fullband ERLE estimates in log2 units.
float FullbandErleLog2() const {
float min_erle = erle_time_domain_log2_[0];
for (size_t ch = 1; ch < erle_time_domain_log2_.size(); ++ch) {
min_erle = std::min(min_erle, erle_time_domain_log2_[ch]);
}
return min_erle;
}
// Returns an estimation of the current linear filter quality. It returns a
// float number between 0 and 1 mapping 1 to the highest possible quality.
ArrayView<const std::optional<float>> GetInstLinearQualityEstimates() const {
return linear_filters_qualities_;
}
void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const;
private:
void UpdateQualityEstimates();
class ErleInstantaneous {
public:
explicit ErleInstantaneous(const EchoCanceller3Config::Erle& config);
~ErleInstantaneous();
// Updates the estimator with a new point, returns true
// if the instantaneous ERLE was updated due to having enough
// points for performing the estimate.
bool Update(float Y2_sum, float E2_sum);
// Resets the instantaneous ERLE estimator to its initial state.
void Reset();
// Resets the members related with an instantaneous estimate.
void ResetAccumulators();
// Returns the instantaneous ERLE in log2 units.
std::optional<float> GetInstErleLog2() const { return erle_log2_; }
// Gets an indication between 0 and 1 of the performance of the linear
// filter for the current time instant.
std::optional<float> GetQualityEstimate() const {
if (erle_log2_) {
float value = inst_quality_estimate_;
if (clamp_inst_quality_to_zero_) {
value = std::max(0.f, value);
}
if (clamp_inst_quality_to_one_) {
value = std::min(1.f, value);
}
return std::optional<float>(value);
}
return std::nullopt;
}
void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const;
private:
void UpdateMaxMin();
void UpdateQualityEstimate();
const bool clamp_inst_quality_to_zero_;
const bool clamp_inst_quality_to_one_;
std::optional<float> erle_log2_;
float inst_quality_estimate_;
float max_erle_log2_;
float min_erle_log2_;
float Y2_acum_;
float E2_acum_;
int num_points_;
};
const float min_erle_log2_;
const float max_erle_lf_log2_;
std::vector<int> hold_counters_instantaneous_erle_;
std::vector<float> erle_time_domain_log2_;
std::vector<ErleInstantaneous> instantaneous_erle_;
std::vector<std::optional<float>> linear_filters_qualities_;
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_AEC3_FULLBAND_ERLE_ESTIMATOR_H_
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