blob: 58ce00acbf6d5a3c87b0dc39beda4eada8e0f95f [file] [log] [blame]
* Copyright (c) 2019 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.
#include <array>
#include "api/array_view.h"
#include "modules/audio_processing/ns/histograms.h"
#include "modules/audio_processing/ns/ns_common.h"
#include "modules/audio_processing/ns/prior_signal_model.h"
#include "modules/audio_processing/ns/prior_signal_model_estimator.h"
#include "modules/audio_processing/ns/signal_model.h"
namespace webrtc {
class SignalModelEstimator {
SignalModelEstimator(const SignalModelEstimator&) = delete;
SignalModelEstimator& operator=(const SignalModelEstimator&) = delete;
// Compute signal normalization during the initial startup phase.
void AdjustNormalization(int32_t num_analyzed_frames, float signal_energy);
void Update(
rtc::ArrayView<const float, kFftSizeBy2Plus1> prior_snr,
rtc::ArrayView<const float, kFftSizeBy2Plus1> post_snr,
rtc::ArrayView<const float, kFftSizeBy2Plus1> conservative_noise_spectrum,
rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum,
float signal_spectral_sum,
float signal_energy);
const PriorSignalModel& get_prior_model() const {
return prior_model_estimator_.get_prior_model();
const SignalModel& get_model() { return features_; }
float diff_normalization_ = 0.f;
float signal_energy_sum_ = 0.f;
Histograms histograms_;
int histogram_analysis_counter_ = 500;
PriorSignalModelEstimator prior_model_estimator_;
SignalModel features_;
} // namespace webrtc