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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_SIGNAL_DEPENDENT_ERLE_ESTIMATOR_H_
#define MODULES_AUDIO_PROCESSING_AEC3_SIGNAL_DEPENDENT_ERLE_ESTIMATOR_H_
#include <memory>
#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/render_buffer.h"
#include "modules/audio_processing/logging/apm_data_dumper.h"
namespace webrtc {
// This class estimates the dependency of the Erle to the input signal. By
// looking at the input signal, an estimation on whether the current echo
// estimate is due to the direct path or to a more reverberant one is performed.
// Once that estimation is done, it is possible to refine the average Erle that
// this class receive as an input.
class SignalDependentErleEstimator {
public:
SignalDependentErleEstimator(const EchoCanceller3Config& config,
size_t num_capture_channels);
~SignalDependentErleEstimator();
void Reset();
// Returns the Erle per frequency subband.
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Erle(
bool onset_compensated) const {
return onset_compensated && use_onset_detection_ ? erle_onset_compensated_
: erle_;
}
// Updates the Erle estimate. The Erle that is passed as an input is required
// to be an estimation of the average Erle achieved by the linear filter.
void Update(
const RenderBuffer& render_buffer,
rtc::ArrayView<const std::vector<std::array<float, kFftLengthBy2Plus1>>>
filter_frequency_response,
rtc::ArrayView<const float, kFftLengthBy2Plus1> X2,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Y2,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> E2,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> average_erle,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>>
average_erle_onset_compensated,
const std::vector<bool>& converged_filters);
void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const;
static constexpr size_t kSubbands = 6;
private:
void ComputeNumberOfActiveFilterSections(
const RenderBuffer& render_buffer,
rtc::ArrayView<const std::vector<std::array<float, kFftLengthBy2Plus1>>>
filter_frequency_responses);
void UpdateCorrectionFactors(
rtc::ArrayView<const float, kFftLengthBy2Plus1> X2,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> Y2,
rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> E2,
const std::vector<bool>& converged_filters);
void ComputeEchoEstimatePerFilterSection(
const RenderBuffer& render_buffer,
rtc::ArrayView<const std::vector<std::array<float, kFftLengthBy2Plus1>>>
filter_frequency_responses);
void ComputeActiveFilterSections();
const float min_erle_;
const size_t num_sections_;
const size_t num_blocks_;
const size_t delay_headroom_blocks_;
const std::array<size_t, kFftLengthBy2Plus1> band_to_subband_;
const std::array<float, kSubbands> max_erle_;
const std::vector<size_t> section_boundaries_blocks_;
const bool use_onset_detection_;
std::vector<std::array<float, kFftLengthBy2Plus1>> erle_;
std::vector<std::array<float, kFftLengthBy2Plus1>> erle_onset_compensated_;
std::vector<std::vector<std::array<float, kFftLengthBy2Plus1>>>
S2_section_accum_;
std::vector<std::vector<std::array<float, kSubbands>>> erle_estimators_;
std::vector<std::array<float, kSubbands>> erle_ref_;
std::vector<std::vector<std::array<float, kSubbands>>> correction_factors_;
std::vector<std::array<int, kSubbands>> num_updates_;
std::vector<std::array<size_t, kFftLengthBy2Plus1>> n_active_sections_;
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_AEC3_SIGNAL_DEPENDENT_ERLE_ESTIMATOR_H_
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