webrtc/modules/audio_processing/level_controller/noise_level_estimator.cc
Sam Zackrisson 52f8188f5d Revert "Deprecate the adaptive level controller"
This reverts commit 6f37ed78d9.

Reason for revert: <INSERT REASONING HERE>

Original change's description:
> Deprecate the adaptive level controller
> 
> Level control handled by default-on AGC.
> 
> Bug: none
> Change-Id: I405daeceece12c896d41156b649fcfd556726f77
> Reviewed-on: https://webrtc-review.googlesource.com/59682
> Reviewed-by: Fredrik Solenberg <solenberg@webrtc.org>
> Reviewed-by: Alex Loiko <aleloi@webrtc.org>
> Commit-Queue: Sam Zackrisson <saza@webrtc.org>
> Cr-Commit-Position: refs/heads/master@{#22305}

TBR=solenberg@webrtc.org,saza@webrtc.org,aleloi@webrtc.org

Change-Id: Ic52f41fcbebfd2291a51b17ac788313e1ceef163
No-Presubmit: true
No-Tree-Checks: true
No-Try: true
Bug: none
Reviewed-on: https://webrtc-review.googlesource.com/60240
Reviewed-by: Sam Zackrisson <saza@webrtc.org>
Commit-Queue: Sam Zackrisson <saza@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#22308}
2018-03-06 11:54:22 +00:00

72 lines
2.4 KiB
C++

/*
* 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 "modules/audio_processing/level_controller/noise_level_estimator.h"
#include <algorithm>
#include "modules/audio_processing/audio_buffer.h"
#include "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