blob: 08015f9092a99d76c3f2c3b0fa40448a087c0ebe [file] [log] [blame]
/*
* Copyright (c) 2016 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 "webrtc/modules/audio_processing/level_controller/noise_level_estimator.h"
#include <algorithm>
#include "webrtc/modules/audio_processing/audio_buffer.h"
#include "webrtc/modules/audio_processing/logging/apm_data_dumper.h"
namespace webrtc {
NoiseLevelEstimator::NoiseLevelEstimator() {
Initialize(AudioProcessing::kSampleRate48kHz);
}
NoiseLevelEstimator::~NoiseLevelEstimator() {}
void NoiseLevelEstimator::Initialize(int sample_rate_hz) {
noise_energy_ = 1.f;
first_update_ = true;
min_noise_energy_ = sample_rate_hz * 2.f * 2.f / 100.f;
noise_energy_hold_counter_ = 0;
}
float NoiseLevelEstimator::Analyze(SignalClassifier::SignalType signal_type,
float frame_energy) {
if (frame_energy <= 0.f) {
return noise_energy_;
}
if (first_update_) {
// Initialize the noise energy to the frame energy.
first_update_ = false;
return noise_energy_ = std::max(frame_energy, min_noise_energy_);
}
// Update the noise estimate in a minimum statistics-type manner.
if (signal_type == SignalClassifier::SignalType::kStationary) {
if (frame_energy > noise_energy_) {
// Leak the estimate upwards towards the frame energy if no recent
// downward update.
noise_energy_hold_counter_ = std::max(noise_energy_hold_counter_ - 1, 0);
if (noise_energy_hold_counter_ == 0) {
noise_energy_ = std::min(noise_energy_ * 1.01f, frame_energy);
}
} else {
// Update smoothly downwards with a limited maximum update magnitude.
noise_energy_ =
std::max(noise_energy_ * 0.9f,
noise_energy_ + 0.05f * (frame_energy - noise_energy_));
noise_energy_hold_counter_ = 1000;
}
} else {
// For a non-stationary signal, leak the estimate downwards in order to
// avoid estimate locking due to incorrect signal classification.
noise_energy_ = noise_energy_ * 0.99f;
}
// Ensure a minimum of the estimate.
return noise_energy_ = std::max(noise_energy_, min_noise_energy_);
}
} // namespace webrtc