78 lines
2.6 KiB
C
78 lines
2.6 KiB
C
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/*
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* Copyright (c) 2019 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_NS_NOISE_ESTIMATOR_H_
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#define MODULES_AUDIO_PROCESSING_NS_NOISE_ESTIMATOR_H_
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#include <array>
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#include "api/array_view.h"
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#include "modules/audio_processing/ns/ns_common.h"
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#include "modules/audio_processing/ns/quantile_noise_estimator.h"
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#include "modules/audio_processing/ns/suppression_params.h"
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namespace webrtc {
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// Class for estimating the spectral characteristics of the noise in an incoming
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// signal.
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class NoiseEstimator {
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public:
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explicit NoiseEstimator(const SuppressionParams& suppression_params);
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// Prepare the estimator for analysis of a new frame.
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void PrepareAnalysis();
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// Performs the first step of the estimator update.
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void PreUpdate(int32_t num_analyzed_frames,
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rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum,
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float signal_spectral_sum);
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// Performs the second step of the estimator update.
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void PostUpdate(
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rtc::ArrayView<const float> speech_probability,
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rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum);
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// Returns the noise spectral estimate.
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rtc::ArrayView<const float, kFftSizeBy2Plus1> get_noise_spectrum() const {
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return noise_spectrum_;
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}
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// Returns the noise from the previous frame.
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rtc::ArrayView<const float, kFftSizeBy2Plus1> get_prev_noise_spectrum()
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const {
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return prev_noise_spectrum_;
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}
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// Returns a noise spectral estimate based on white and pink noise parameters.
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rtc::ArrayView<const float, kFftSizeBy2Plus1> get_parametric_noise_spectrum()
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const {
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return parametric_noise_spectrum_;
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}
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rtc::ArrayView<const float, kFftSizeBy2Plus1>
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get_conservative_noise_spectrum() const {
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return conservative_noise_spectrum_;
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}
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private:
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const SuppressionParams& suppression_params_;
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float white_noise_level_ = 0.f;
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float pink_noise_numerator_ = 0.f;
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float pink_noise_exp_ = 0.f;
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std::array<float, kFftSizeBy2Plus1> prev_noise_spectrum_;
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std::array<float, kFftSizeBy2Plus1> conservative_noise_spectrum_;
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std::array<float, kFftSizeBy2Plus1> parametric_noise_spectrum_;
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std::array<float, kFftSizeBy2Plus1> noise_spectrum_;
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QuantileNoiseEstimator quantile_noise_estimator_;
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};
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_NS_NOISE_ESTIMATOR_H_
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