| /* |
| * 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() const { |
| return 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, |
| const std::vector<std::array<float, kFftLengthBy2Plus1>>& |
| filter_frequency_response, |
| rtc::ArrayView<const float> X2, |
| rtc::ArrayView<const float> Y2, |
| rtc::ArrayView<const float> E2, |
| rtc::ArrayView<const std::array<float, kFftLengthBy2Plus1>> average_erle, |
| bool converged_filter); |
| |
| void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const; |
| |
| static constexpr size_t kSubbands = 6; |
| |
| private: |
| void ComputeNumberOfActiveFilterSections( |
| const RenderBuffer& render_buffer, |
| const std::vector<std::array<float, kFftLengthBy2Plus1>>& |
| filter_frequency_response, |
| rtc::ArrayView<size_t> n_active_filter_sections); |
| |
| void UpdateCorrectionFactors(rtc::ArrayView<const float> X2, |
| rtc::ArrayView<const float> Y2, |
| rtc::ArrayView<const float> E2, |
| rtc::ArrayView<const size_t> n_active_sections); |
| |
| void ComputeEchoEstimatePerFilterSection( |
| const RenderBuffer& render_buffer, |
| const std::vector<std::array<float, kFftLengthBy2Plus1>>& |
| filter_frequency_response); |
| |
| void ComputeActiveFilterSections( |
| rtc::ArrayView<size_t> number_active_filter_sections) const; |
| |
| 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_; |
| std::vector<std::array<float, kFftLengthBy2Plus1>> erle_; |
| std::vector<std::array<float, kFftLengthBy2Plus1>> S2_section_accum_; |
| std::vector<std::array<float, kSubbands>> erle_estimators_; |
| std::array<float, kSubbands> erle_ref_; |
| std::vector<std::array<float, kSubbands>> correction_factors_; |
| std::array<int, kSubbands> num_updates_; |
| }; |
| |
| } // namespace webrtc |
| |
| #endif // MODULES_AUDIO_PROCESSING_AEC3_SIGNAL_DEPENDENT_ERLE_ESTIMATOR_H_ |