| Index: webrtc/modules/audio_processing/agc/histogram.cc
|
| diff --git a/webrtc/modules/audio_processing/agc/histogram.cc b/webrtc/modules/audio_processing/agc/histogram.cc
|
| deleted file mode 100644
|
| index 5c66727a9f39efa3756c52f00fa49f5fecd2b9f9..0000000000000000000000000000000000000000
|
| --- a/webrtc/modules/audio_processing/agc/histogram.cc
|
| +++ /dev/null
|
| @@ -1,228 +0,0 @@
|
| -/*
|
| - * Copyright (c) 2012 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/agc/histogram.h"
|
| -
|
| -#include <cmath>
|
| -#include <cstring>
|
| -
|
| -#include "webrtc/modules/include/module_common_types.h"
|
| -
|
| -namespace webrtc {
|
| -
|
| -static const double kHistBinCenters[] = {
|
| - 7.59621091765857e-02, 9.02036021061016e-02, 1.07115112009343e-01,
|
| - 1.27197217770508e-01, 1.51044347572047e-01, 1.79362373905283e-01,
|
| - 2.12989507320644e-01, 2.52921107370304e-01, 3.00339145144454e-01,
|
| - 3.56647189489147e-01, 4.23511952494003e-01, 5.02912623991786e-01,
|
| - 5.97199455365749e-01, 7.09163326739184e-01, 8.42118356728544e-01,
|
| - 1.00000000000000e+00, 1.18748153630660e+00, 1.41011239906908e+00,
|
| - 1.67448243801153e+00, 1.98841697800836e+00, 2.36120844786349e+00,
|
| - 2.80389143520905e+00, 3.32956930911896e+00, 3.95380207843188e+00,
|
| - 4.69506696634852e+00, 5.57530533426190e+00, 6.62057214370769e+00,
|
| - 7.86180718043869e+00, 9.33575086877358e+00, 1.10860317842269e+01,
|
| - 1.31644580546776e+01, 1.56325508754123e+01, 1.85633655299256e+01,
|
| - 2.20436538184971e+01, 2.61764319021997e+01, 3.10840295702492e+01,
|
| - 3.69117111886792e+01, 4.38319755100383e+01, 5.20496616180135e+01,
|
| - 6.18080121423973e+01, 7.33958732149108e+01, 8.71562442838066e+01,
|
| - 1.03496430860848e+02, 1.22900100720889e+02, 1.45941600416277e+02,
|
| - 1.73302955873365e+02, 2.05794060286978e+02, 2.44376646872353e+02,
|
| - 2.90192756065437e+02, 3.44598539797631e+02, 4.09204403447902e+02,
|
| - 4.85922673669740e+02, 5.77024203055553e+02, 6.85205587130498e+02,
|
| - 8.13668983291589e+02, 9.66216894324125e+02, 1.14736472207740e+03,
|
| - 1.36247442287647e+03, 1.61791322085579e+03, 1.92124207711260e+03,
|
| - 2.28143949334655e+03, 2.70916727454970e+03, 3.21708611729384e+03,
|
| - 3.82023036499473e+03, 4.53645302286906e+03, 5.38695420497926e+03,
|
| - 6.39690865534207e+03, 7.59621091765857e+03, 9.02036021061016e+03,
|
| - 1.07115112009343e+04, 1.27197217770508e+04, 1.51044347572047e+04,
|
| - 1.79362373905283e+04, 2.12989507320644e+04, 2.52921107370304e+04,
|
| - 3.00339145144454e+04, 3.56647189489147e+04};
|
| -
|
| -static const double kProbQDomain = 1024.0;
|
| -// Loudness of -15 dB (smallest expected loudness) in log domain,
|
| -// loudness_db = 13.5 * log10(rms);
|
| -static const double kLogDomainMinBinCenter = -2.57752062648587;
|
| -// Loudness step of 1 dB in log domain
|
| -static const double kLogDomainStepSizeInverse = 5.81954605750359;
|
| -
|
| -static const int kTransientWidthThreshold = 7;
|
| -static const double kLowProbabilityThreshold = 0.2;
|
| -
|
| -static const int kLowProbThresholdQ10 = static_cast<int>(
|
| - kLowProbabilityThreshold * kProbQDomain);
|
| -
|
| -Histogram::Histogram()
|
| - : num_updates_(0),
|
| - audio_content_q10_(0),
|
| - bin_count_q10_(),
|
| - activity_probability_(),
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| - hist_bin_index_(),
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| - buffer_index_(0),
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| - buffer_is_full_(false),
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| - len_circular_buffer_(0),
|
| - len_high_activity_(0) {
|
| - static_assert(
|
| - kHistSize == sizeof(kHistBinCenters) / sizeof(kHistBinCenters[0]),
|
| - "histogram bin centers incorrect size");
|
| -}
|
| -
|
| -Histogram::Histogram(int window_size)
|
| - : num_updates_(0),
|
| - audio_content_q10_(0),
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| - bin_count_q10_(),
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| - activity_probability_(new int[window_size]),
|
| - hist_bin_index_(new int[window_size]),
|
| - buffer_index_(0),
|
| - buffer_is_full_(false),
|
| - len_circular_buffer_(window_size),
|
| - len_high_activity_(0) {}
|
| -
|
| -Histogram::~Histogram() {}
|
| -
|
| -void Histogram::Update(double rms, double activity_probaility) {
|
| - // If circular histogram is activated then remove the oldest entry.
|
| - if (len_circular_buffer_ > 0)
|
| - RemoveOldestEntryAndUpdate();
|
| -
|
| - // Find the corresponding bin.
|
| - int hist_index = GetBinIndex(rms);
|
| - // To Q10 domain.
|
| - int prob_q10 = static_cast<int16_t>(floor(activity_probaility *
|
| - kProbQDomain));
|
| - InsertNewestEntryAndUpdate(prob_q10, hist_index);
|
| -}
|
| -
|
| -// Doing nothing if buffer is not full, yet.
|
| -void Histogram::RemoveOldestEntryAndUpdate() {
|
| - assert(len_circular_buffer_ > 0);
|
| - // Do nothing if circular buffer is not full.
|
| - if (!buffer_is_full_)
|
| - return;
|
| -
|
| - int oldest_prob = activity_probability_[buffer_index_];
|
| - int oldest_hist_index = hist_bin_index_[buffer_index_];
|
| - UpdateHist(-oldest_prob, oldest_hist_index);
|
| -}
|
| -
|
| -void Histogram::RemoveTransient() {
|
| - // Don't expect to be here if high-activity region is longer than
|
| - // |kTransientWidthThreshold| or there has not been any transient.
|
| - assert(len_high_activity_ <= kTransientWidthThreshold);
|
| - int index = (buffer_index_ > 0) ? (buffer_index_ - 1) :
|
| - len_circular_buffer_ - 1;
|
| - while (len_high_activity_ > 0) {
|
| - UpdateHist(-activity_probability_[index], hist_bin_index_[index]);
|
| - activity_probability_[index] = 0;
|
| - index = (index > 0) ? (index - 1) : (len_circular_buffer_ - 1);
|
| - len_high_activity_--;
|
| - }
|
| -}
|
| -
|
| -void Histogram::InsertNewestEntryAndUpdate(int activity_prob_q10,
|
| - int hist_index) {
|
| - // Update the circular buffer if it is enabled.
|
| - if (len_circular_buffer_ > 0) {
|
| - // Removing transient.
|
| - if (activity_prob_q10 <= kLowProbThresholdQ10) {
|
| - // Lower than threshold probability, set it to zero.
|
| - activity_prob_q10 = 0;
|
| - // Check if this has been a transient.
|
| - if (len_high_activity_ <= kTransientWidthThreshold)
|
| - RemoveTransient(); // Remove this transient.
|
| - len_high_activity_ = 0;
|
| - } else if (len_high_activity_ <= kTransientWidthThreshold) {
|
| - len_high_activity_++;
|
| - }
|
| - // Updating the circular buffer.
|
| - activity_probability_[buffer_index_] = activity_prob_q10;
|
| - hist_bin_index_[buffer_index_] = hist_index;
|
| - // Increment the buffer index and check for wrap-around.
|
| - buffer_index_++;
|
| - if (buffer_index_ >= len_circular_buffer_) {
|
| - buffer_index_ = 0;
|
| - buffer_is_full_ = true;
|
| - }
|
| - }
|
| -
|
| - num_updates_++;
|
| - if (num_updates_ < 0)
|
| - num_updates_--;
|
| -
|
| - UpdateHist(activity_prob_q10, hist_index);
|
| -}
|
| -
|
| -void Histogram::UpdateHist(int activity_prob_q10, int hist_index) {
|
| - bin_count_q10_[hist_index] += activity_prob_q10;
|
| - audio_content_q10_ += activity_prob_q10;
|
| -}
|
| -
|
| -double Histogram::AudioContent() const {
|
| - return audio_content_q10_ / kProbQDomain;
|
| -}
|
| -
|
| -Histogram* Histogram::Create() {
|
| - return new Histogram;
|
| -}
|
| -
|
| -Histogram* Histogram::Create(int window_size) {
|
| - if (window_size < 0)
|
| - return NULL;
|
| - return new Histogram(window_size);
|
| -}
|
| -
|
| -void Histogram::Reset() {
|
| - // Reset the histogram, audio-content and number of updates.
|
| - memset(bin_count_q10_, 0, sizeof(bin_count_q10_));
|
| - audio_content_q10_ = 0;
|
| - num_updates_ = 0;
|
| - // Empty the circular buffer.
|
| - buffer_index_ = 0;
|
| - buffer_is_full_ = false;
|
| - len_high_activity_ = 0;
|
| -}
|
| -
|
| -int Histogram::GetBinIndex(double rms) {
|
| - // First exclude overload cases.
|
| - if (rms <= kHistBinCenters[0]) {
|
| - return 0;
|
| - } else if (rms >= kHistBinCenters[kHistSize - 1]) {
|
| - return kHistSize - 1;
|
| - } else {
|
| - // The quantizer is uniform in log domain. Alternatively we could do binary
|
| - // search in linear domain.
|
| - double rms_log = log(rms);
|
| -
|
| - int index = static_cast<int>(floor((rms_log - kLogDomainMinBinCenter) *
|
| - kLogDomainStepSizeInverse));
|
| - // The final decision is in linear domain.
|
| - double b = 0.5 * (kHistBinCenters[index] + kHistBinCenters[index + 1]);
|
| - if (rms > b) {
|
| - return index + 1;
|
| - }
|
| - return index;
|
| - }
|
| -}
|
| -
|
| -double Histogram::CurrentRms() const {
|
| - double p;
|
| - double mean_val = 0;
|
| - if (audio_content_q10_ > 0) {
|
| - double p_total_inverse = 1. / static_cast<double>(audio_content_q10_);
|
| - for (int n = 0; n < kHistSize; n++) {
|
| - p = static_cast<double>(bin_count_q10_[n]) * p_total_inverse;
|
| - mean_val += p * kHistBinCenters[n];
|
| - }
|
| - } else {
|
| - mean_val = kHistBinCenters[0];
|
| - }
|
| - return mean_val;
|
| -}
|
| -
|
| -} // namespace webrtc
|
|
|