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https://github.com/danog/libtgvoip.git
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5caaaafa42
I'm now using the entire audio processing module from WebRTC as opposed to individual DSP algorithms pulled from there before. Seems to work better this way.
82 lines
2.9 KiB
C++
82 lines
2.9 KiB
C++
/*
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* Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_
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#define MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_
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#include <stddef.h>
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#include <array>
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#include <memory>
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#include "absl/types/optional.h"
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#include "api/array_view.h"
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#include "modules/audio_processing/aec3/aec3_common.h"
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#include "modules/audio_processing/aec3/fullband_erle_estimator.h"
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#include "modules/audio_processing/aec3/subband_erle_estimator.h"
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#include "modules/audio_processing/logging/apm_data_dumper.h"
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namespace webrtc {
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// Estimates the echo return loss enhancement. One estimate is done per subband
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// and another one is done using the aggreation of energy over all the subbands.
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class ErleEstimator {
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public:
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ErleEstimator(size_t startup_phase_length_blocks_,
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float min_erle,
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float max_erle_lf,
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float max_erle_hf);
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~ErleEstimator();
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// Resets the fullband ERLE estimator and the subbands ERLE estimators.
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void Reset(bool delay_change);
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// Updates the ERLE estimates.
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void Update(rtc::ArrayView<const float> reverb_render_spectrum,
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rtc::ArrayView<const float> capture_spectrum,
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rtc::ArrayView<const float> subtractor_spectrum,
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bool converged_filter,
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bool onset_detection);
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// Returns the most recent subband ERLE estimates.
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const std::array<float, kFftLengthBy2Plus1>& Erle() const {
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return subband_erle_estimator_.Erle();
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}
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// Returns the subband ERLE that are estimated during onsets. Used
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// for logging/testing.
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const std::array<float, kFftLengthBy2Plus1>& ErleOnsets() const {
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return subband_erle_estimator_.ErleOnsets();
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}
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// Returns the fullband ERLE estimate.
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float FullbandErleLog2() const {
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return fullband_erle_estimator_.FullbandErleLog2();
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}
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// Returns an estimation of the current linear filter quality based on the
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// current and past fullband ERLE estimates. The returned value is a float
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// between 0 and 1 where 1 indicates that, at this current time instant, the
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// linear filter is reaching its maximum subtraction performance.
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absl::optional<float> GetInstLinearQualityEstimate() const {
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return fullband_erle_estimator_.GetInstLinearQualityEstimate();
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}
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void Dump(const std::unique_ptr<ApmDataDumper>& data_dumper) const;
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private:
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const size_t startup_phase_length_blocks__;
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FullBandErleEstimator fullband_erle_estimator_;
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SubbandErleEstimator subband_erle_estimator_;
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size_t blocks_since_reset_ = 0;
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};
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_AEC3_ERLE_ESTIMATOR_H_
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