Add the option to run the adaptive digital controller of AGC2 without side-effects - i.e., no gain applied. Tested: adapation verified during a video call in chromium Bug: webrtc:7494 Change-Id: I4776f6012907d76a17a3bca89991da97dc38657f Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/215964 Commit-Queue: Alessio Bazzica <alessiob@webrtc.org> Reviewed-by: Per Åhgren <peah@webrtc.org> Cr-Commit-Position: refs/heads/master@{#33875}
127 lines
4.8 KiB
C++
127 lines
4.8 KiB
C++
/*
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* Copyright (c) 2018 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 "modules/audio_processing/agc2/adaptive_agc.h"
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#include "common_audio/include/audio_util.h"
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#include "modules/audio_processing/agc2/cpu_features.h"
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#include "modules/audio_processing/agc2/vad_with_level.h"
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#include "modules/audio_processing/logging/apm_data_dumper.h"
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#include "rtc_base/checks.h"
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#include "rtc_base/logging.h"
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namespace webrtc {
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namespace {
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using AdaptiveDigitalConfig =
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AudioProcessing::Config::GainController2::AdaptiveDigital;
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using NoiseEstimatorType =
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AudioProcessing::Config::GainController2::NoiseEstimator;
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// Detects the available CPU features and applies any kill-switches.
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AvailableCpuFeatures GetAllowedCpuFeatures(
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const AdaptiveDigitalConfig& config) {
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AvailableCpuFeatures features = GetAvailableCpuFeatures();
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if (!config.sse2_allowed) {
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features.sse2 = false;
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}
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if (!config.avx2_allowed) {
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features.avx2 = false;
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}
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if (!config.neon_allowed) {
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features.neon = false;
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}
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return features;
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}
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std::unique_ptr<NoiseLevelEstimator> CreateNoiseLevelEstimator(
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NoiseEstimatorType estimator_type,
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ApmDataDumper* apm_data_dumper) {
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switch (estimator_type) {
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case NoiseEstimatorType::kStationaryNoise:
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return CreateStationaryNoiseEstimator(apm_data_dumper);
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case NoiseEstimatorType::kNoiseFloor:
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return CreateNoiseFloorEstimator(apm_data_dumper);
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}
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}
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} // namespace
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AdaptiveAgc::AdaptiveAgc(ApmDataDumper* apm_data_dumper,
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const AdaptiveDigitalConfig& config)
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: speech_level_estimator_(apm_data_dumper,
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config.adjacent_speech_frames_threshold),
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vad_(config.vad_reset_period_ms, GetAllowedCpuFeatures(config)),
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gain_controller_(apm_data_dumper,
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config.adjacent_speech_frames_threshold,
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config.max_gain_change_db_per_second,
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config.max_output_noise_level_dbfs,
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config.dry_run),
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apm_data_dumper_(apm_data_dumper),
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noise_level_estimator_(
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CreateNoiseLevelEstimator(config.noise_estimator, apm_data_dumper)),
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saturation_protector_(
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CreateSaturationProtector(kSaturationProtectorInitialHeadroomDb,
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kSaturationProtectorExtraHeadroomDb,
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config.adjacent_speech_frames_threshold,
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apm_data_dumper)) {
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RTC_DCHECK(apm_data_dumper);
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RTC_DCHECK(noise_level_estimator_);
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RTC_DCHECK(saturation_protector_);
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if (!config.use_saturation_protector) {
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RTC_LOG(LS_WARNING) << "The saturation protector cannot be disabled.";
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}
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}
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AdaptiveAgc::~AdaptiveAgc() = default;
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void AdaptiveAgc::Initialize(int sample_rate_hz, int num_channels) {
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gain_controller_.Initialize(sample_rate_hz, num_channels);
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}
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void AdaptiveAgc::Process(AudioFrameView<float> frame, float limiter_envelope) {
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AdaptiveDigitalGainApplier::FrameInfo info;
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VadLevelAnalyzer::Result vad_result = vad_.AnalyzeFrame(frame);
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info.speech_probability = vad_result.speech_probability;
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apm_data_dumper_->DumpRaw("agc2_speech_probability",
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vad_result.speech_probability);
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apm_data_dumper_->DumpRaw("agc2_input_rms_dbfs", vad_result.rms_dbfs);
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apm_data_dumper_->DumpRaw("agc2_input_peak_dbfs", vad_result.peak_dbfs);
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speech_level_estimator_.Update(vad_result);
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info.speech_level_dbfs = speech_level_estimator_.level_dbfs();
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info.speech_level_reliable = speech_level_estimator_.IsConfident();
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apm_data_dumper_->DumpRaw("agc2_speech_level_dbfs", info.speech_level_dbfs);
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apm_data_dumper_->DumpRaw("agc2_speech_level_reliable",
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info.speech_level_reliable);
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info.noise_rms_dbfs = noise_level_estimator_->Analyze(frame);
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apm_data_dumper_->DumpRaw("agc2_noise_rms_dbfs", info.noise_rms_dbfs);
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saturation_protector_->Analyze(info.speech_probability, vad_result.peak_dbfs,
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info.speech_level_dbfs);
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info.headroom_db = saturation_protector_->HeadroomDb();
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apm_data_dumper_->DumpRaw("agc2_headroom_db", info.headroom_db);
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info.limiter_envelope_dbfs = FloatS16ToDbfs(limiter_envelope);
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apm_data_dumper_->DumpRaw("agc2_limiter_envelope_dbfs",
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info.limiter_envelope_dbfs);
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gain_controller_.Process(info, frame);
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}
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void AdaptiveAgc::HandleInputGainChange() {
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speech_level_estimator_.Reset();
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saturation_protector_->Reset();
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}
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} // namespace webrtc
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