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/*
* 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.
*/
#ifndef MODULES_AUDIO_PROCESSING_NS_SPEECH_PROBABILITY_ESTIMATOR_H_
#define MODULES_AUDIO_PROCESSING_NS_SPEECH_PROBABILITY_ESTIMATOR_H_
#include <array>
#include "api/array_view.h"
#include "modules/audio_processing/ns/ns_common.h"
#include "modules/audio_processing/ns/signal_model_estimator.h"
namespace webrtc {
// Class for estimating the probability of speech.
class SpeechProbabilityEstimator {
public:
SpeechProbabilityEstimator();
SpeechProbabilityEstimator(const SpeechProbabilityEstimator&) = delete;
SpeechProbabilityEstimator& operator=(const SpeechProbabilityEstimator&) =
delete;
// Compute speech probability.
void Update(
int32_t num_analyzed_frames,
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);
float get_prior_probability() const { return prior_speech_prob_; }
rtc::ArrayView<const float> get_probability() { return speech_probability_; }
private:
SignalModelEstimator signal_model_estimator_;
float prior_speech_prob_ = .5f;
std::array<float, kFftSizeBy2Plus1> speech_probability_;
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_NS_SPEECH_PROBABILITY_ESTIMATOR_H_