1 /* 2 * Copyright (c) 2018 The WebRTC project authors. All Rights Reserved. 3 * 4 * Use of this source code is governed by a BSD-style license 5 * that can be found in the LICENSE file in the root of the source 6 * tree. An additional intellectual property rights grant can be found 7 * in the file PATENTS. All contributing project authors may 8 * be found in the AUTHORS file in the root of the source tree. 9 */ 10 11 #include "modules/audio_processing/agc2/adaptive_mode_level_estimator_agc.h" 12 13 #include <cmath> 14 #include <vector> 15 16 #include "modules/audio_processing/agc2/agc2_common.h" 17 #include "modules/audio_processing/include/audio_frame_view.h" 18 19 namespace webrtc { 20 AdaptiveModeLevelEstimatorAgc(ApmDataDumper * apm_data_dumper)21AdaptiveModeLevelEstimatorAgc::AdaptiveModeLevelEstimatorAgc( 22 ApmDataDumper* apm_data_dumper) 23 : level_estimator_(apm_data_dumper) { 24 set_target_level_dbfs(kDefaultAgc2LevelHeadroomDbfs); 25 } 26 27 // |audio| must be mono; in a multi-channel stream, provide the first (usually 28 // left) channel. Process(const int16_t * audio,size_t length,int sample_rate_hz)29void AdaptiveModeLevelEstimatorAgc::Process(const int16_t* audio, 30 size_t length, 31 int sample_rate_hz) { 32 std::vector<float> float_audio_frame(audio, audio + length); 33 const float* const first_channel = &float_audio_frame[0]; 34 AudioFrameView<const float> frame_view(&first_channel, 1 /* num channels */, 35 length); 36 const auto vad_prob = agc2_vad_.AnalyzeFrame(frame_view); 37 latest_voice_probability_ = vad_prob.speech_probability; 38 if (latest_voice_probability_ > kVadConfidenceThreshold) { 39 time_in_ms_since_last_estimate_ += kFrameDurationMs; 40 } 41 level_estimator_.UpdateEstimation(vad_prob); 42 } 43 44 // Retrieves the difference between the target RMS level and the current 45 // signal RMS level in dB. Returns true if an update is available and false 46 // otherwise, in which case |error| should be ignored and no action taken. GetRmsErrorDb(int * error)47bool AdaptiveModeLevelEstimatorAgc::GetRmsErrorDb(int* error) { 48 if (time_in_ms_since_last_estimate_ <= kTimeUntilConfidentMs) { 49 return false; 50 } 51 *error = std::floor(target_level_dbfs() - 52 level_estimator_.LatestLevelEstimate() + 0.5f); 53 time_in_ms_since_last_estimate_ = 0; 54 return true; 55 } 56 Reset()57void AdaptiveModeLevelEstimatorAgc::Reset() { 58 level_estimator_.Reset(); 59 } 60 voice_probability() const61float AdaptiveModeLevelEstimatorAgc::voice_probability() const { 62 return latest_voice_probability_; 63 } 64 65 } // namespace webrtc 66