2016-06-29 15:26:12 -07:00
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/*
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* Copyright (c) 2016 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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#include "webrtc/modules/audio_processing/level_controller/level_controller.h"
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#include <math.h>
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#include <algorithm>
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#include <numeric>
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#include "webrtc/base/array_view.h"
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#include "webrtc/base/arraysize.h"
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#include "webrtc/base/checks.h"
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#include "webrtc/modules/audio_processing/audio_buffer.h"
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#include "webrtc/modules/audio_processing/level_controller/gain_applier.h"
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#include "webrtc/modules/audio_processing/level_controller/gain_selector.h"
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#include "webrtc/modules/audio_processing/level_controller/noise_level_estimator.h"
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#include "webrtc/modules/audio_processing/level_controller/peak_level_estimator.h"
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#include "webrtc/modules/audio_processing/level_controller/saturating_gain_estimator.h"
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#include "webrtc/modules/audio_processing/level_controller/signal_classifier.h"
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#include "webrtc/modules/audio_processing/logging/apm_data_dumper.h"
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#include "webrtc/system_wrappers/include/metrics.h"
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namespace webrtc {
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namespace {
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void UpdateAndRemoveDcLevel(float forgetting_factor,
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float* dc_level,
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rtc::ArrayView<float> x) {
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RTC_DCHECK(!x.empty());
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float mean =
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2016-08-25 04:00:20 -07:00
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std::accumulate(x.begin(), x.end(), 0.0f) / static_cast<float>(x.size());
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2016-06-29 15:26:12 -07:00
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*dc_level += forgetting_factor * (mean - *dc_level);
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for (float& v : x) {
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v -= *dc_level;
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}
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}
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float FrameEnergy(const AudioBuffer& audio) {
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float energy = 0.f;
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for (size_t k = 0; k < audio.num_channels(); ++k) {
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float channel_energy =
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std::accumulate(audio.channels_const_f()[k],
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audio.channels_const_f()[k] + audio.num_frames(), 0,
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[](float a, float b) -> float { return a + b * b; });
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energy = std::max(channel_energy, energy);
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}
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return energy;
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}
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float PeakLevel(const AudioBuffer& audio) {
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float peak_level = 0.f;
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for (size_t k = 0; k < audio.num_channels(); ++k) {
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auto channel_peak_level = std::max_element(
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audio.channels_const_f()[k],
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audio.channels_const_f()[k] + audio.num_frames(),
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[](float a, float b) { return std::abs(a) < std::abs(b); });
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peak_level = std::max(*channel_peak_level, peak_level);
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}
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return peak_level;
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}
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const int kMetricsFrameInterval = 1000;
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} // namespace
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int LevelController::instance_count_ = 0;
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void LevelController::Metrics::Initialize(int sample_rate_hz) {
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RTC_DCHECK(sample_rate_hz == AudioProcessing::kSampleRate8kHz ||
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sample_rate_hz == AudioProcessing::kSampleRate16kHz ||
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sample_rate_hz == AudioProcessing::kSampleRate32kHz ||
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sample_rate_hz == AudioProcessing::kSampleRate48kHz);
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Reset();
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frame_length_ = rtc::CheckedDivExact(sample_rate_hz, 100);
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}
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void LevelController::Metrics::Reset() {
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metrics_frame_counter_ = 0;
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gain_sum_ = 0.f;
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peak_level_sum_ = 0.f;
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noise_energy_sum_ = 0.f;
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max_gain_ = 0.f;
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max_peak_level_ = 0.f;
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max_noise_energy_ = 0.f;
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}
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void LevelController::Metrics::Update(float peak_level,
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float noise_energy,
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float gain) {
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const float kdBFSOffset = 90.3090f;
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gain_sum_ += gain;
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peak_level_sum_ += peak_level;
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noise_energy_sum_ += noise_energy;
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max_gain_ = std::max(max_gain_, gain);
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max_peak_level_ = std::max(max_peak_level_, peak_level);
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max_noise_energy_ = std::max(max_noise_energy_, noise_energy);
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++metrics_frame_counter_;
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if (metrics_frame_counter_ == kMetricsFrameInterval) {
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RTC_HISTOGRAM_COUNTS(
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"WebRTC.Audio.LevelControl.MaxNoisePower",
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static_cast<int>(10 * log10(max_noise_energy_ / frame_length_ + 1e-10f)
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- kdBFSOffset),
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-90, 0, 50);
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RTC_HISTOGRAM_COUNTS(
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"WebRTC.Audio.LevelControl.AverageNoisePower",
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static_cast<int>(10 * log10(noise_energy_sum_ /
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(frame_length_ * kMetricsFrameInterval) +
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1e-10f) - kdBFSOffset),
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-90, 0, 50);
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RTC_HISTOGRAM_COUNTS(
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"WebRTC.Audio.LevelControl.MaxPeakLevel",
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static_cast<int>(10 * log10(max_peak_level_ * max_peak_level_ + 1e-10f)
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- kdBFSOffset),
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-90, 0, 50);
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RTC_HISTOGRAM_COUNTS(
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"WebRTC.Audio.LevelControl.AveragePeakLevel",
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static_cast<int>(10 * log10(peak_level_sum_ * peak_level_sum_ /
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(kMetricsFrameInterval *
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kMetricsFrameInterval) +
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1e-10f) - kdBFSOffset),
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-90, 0, 50);
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RTC_DCHECK_LE(1.f, max_gain_);
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RTC_DCHECK_LE(1.f, gain_sum_ / kMetricsFrameInterval);
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RTC_HISTOGRAM_COUNTS("WebRTC.Audio.LevelControl.MaxGain",
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static_cast<int>(10 * log10(max_gain_ * max_gain_)),
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0, 33, 30);
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RTC_HISTOGRAM_COUNTS("WebRTC.Audio.LevelControl.AverageGain",
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static_cast<int>(10 * log10(gain_sum_ * gain_sum_ /
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(kMetricsFrameInterval *
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kMetricsFrameInterval))),
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0, 33, 30);
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Reset();
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}
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}
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LevelController::LevelController()
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: data_dumper_(new ApmDataDumper(instance_count_)),
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gain_applier_(data_dumper_.get()),
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signal_classifier_(data_dumper_.get()) {
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Initialize(AudioProcessing::kSampleRate48kHz);
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++instance_count_;
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}
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LevelController::~LevelController() {}
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void LevelController::Initialize(int sample_rate_hz) {
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RTC_DCHECK(sample_rate_hz == AudioProcessing::kSampleRate8kHz ||
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sample_rate_hz == AudioProcessing::kSampleRate16kHz ||
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sample_rate_hz == AudioProcessing::kSampleRate32kHz ||
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sample_rate_hz == AudioProcessing::kSampleRate48kHz);
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data_dumper_->InitiateNewSetOfRecordings();
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gain_selector_.Initialize(sample_rate_hz);
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gain_applier_.Initialize(sample_rate_hz);
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signal_classifier_.Initialize(sample_rate_hz);
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noise_level_estimator_.Initialize(sample_rate_hz);
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peak_level_estimator_.Initialize();
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saturating_gain_estimator_.Initialize();
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metrics_.Initialize(sample_rate_hz);
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last_gain_ = 1.0f;
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sample_rate_hz_ = rtc::Optional<int>(sample_rate_hz);
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dc_forgetting_factor_ = 0.01f * sample_rate_hz / 48000.f;
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std::fill(dc_level_, dc_level_ + arraysize(dc_level_), 0.f);
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}
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void LevelController::Process(AudioBuffer* audio) {
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RTC_DCHECK_LT(0u, audio->num_channels());
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RTC_DCHECK_GE(2u, audio->num_channels());
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RTC_DCHECK_NE(0.f, dc_forgetting_factor_);
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RTC_DCHECK(sample_rate_hz_);
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data_dumper_->DumpWav("lc_input", audio->num_frames(),
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audio->channels_const_f()[0], *sample_rate_hz_, 1);
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// Remove DC level.
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for (size_t k = 0; k < audio->num_channels(); ++k) {
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UpdateAndRemoveDcLevel(
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dc_forgetting_factor_, &dc_level_[k],
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rtc::ArrayView<float>(audio->channels_f()[k], audio->num_frames()));
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}
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SignalClassifier::SignalType signal_type;
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signal_classifier_.Analyze(*audio, &signal_type);
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int tmp = static_cast<int>(signal_type);
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data_dumper_->DumpRaw("lc_signal_type", 1, &tmp);
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// Estimate the noise energy.
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float noise_energy =
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noise_level_estimator_.Analyze(signal_type, FrameEnergy(*audio));
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// Estimate the overall signal peak level.
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float peak_level =
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peak_level_estimator_.Analyze(signal_type, PeakLevel(*audio));
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float saturating_gain = saturating_gain_estimator_.GetGain();
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// Compute the new gain to apply.
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last_gain_ = gain_selector_.GetNewGain(peak_level, noise_energy,
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saturating_gain, signal_type);
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// Apply the gain to the signal.
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int num_saturations = gain_applier_.Process(last_gain_, audio);
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// Estimate the gain that saturates the overall signal.
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saturating_gain_estimator_.Update(last_gain_, num_saturations);
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// Update the metrics.
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metrics_.Update(peak_level, noise_energy, last_gain_);
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data_dumper_->DumpRaw("lc_selected_gain", 1, &last_gain_);
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data_dumper_->DumpRaw("lc_noise_energy", 1, &noise_energy);
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data_dumper_->DumpRaw("lc_peak_level", 1, &peak_level);
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data_dumper_->DumpRaw("lc_saturating_gain", 1, &saturating_gain);
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data_dumper_->DumpWav("lc_output", audio->num_frames(),
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audio->channels_f()[0], *sample_rate_hz_, 1);
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}
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} // namespace webrtc
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