modules/audio_processing/aec3/filter_analyzer.cc - src - Git at Google

 /*
  *  Copyright (c) 2017 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/aec3/filter_analyzer.h"

 #include <math.h>

 #include <algorithm>
 #include <array>
 #include <numeric>

 #include "modules/audio_processing/aec3/aec3_common.h"
 #include "modules/audio_processing/aec3/render_buffer.h"
 #include "modules/audio_processing/logging/apm_data_dumper.h"
 #include "rtc_base/atomic_ops.h"
 #include "rtc_base/checks.h"

 namespace webrtc {
 namespace {

 size_t FindPeakIndex(rtc::ArrayView<const float> filter_time_domain,
                      size_t peak_index_in,
                      size_t start_sample,
                      size_t end_sample) {
   size_t peak_index_out = peak_index_in;
   float max_h2 =
       filter_time_domain[peak_index_out] * filter_time_domain[peak_index_out];
   for (size_t k = start_sample; k <= end_sample; ++k) {
     float tmp = filter_time_domain[k] * filter_time_domain[k];
     if (tmp > max_h2) {
       peak_index_out = k;
       max_h2 = tmp;
     }
   }

   return peak_index_out;
 }

 }  // namespace

 int FilterAnalyzer::instance_count_ = 0;

 FilterAnalyzer::FilterAnalyzer(const EchoCanceller3Config& config,
                                size_t num_capture_channels)
     : data_dumper_(
           new ApmDataDumper(rtc::AtomicOps::Increment(&instance_count_))),
       bounded_erl_(config.ep_strength.bounded_erl),
       default_gain_(config.ep_strength.default_gain),
       h_highpass_(num_capture_channels,
                   std::vector<float>(
                       GetTimeDomainLength(config.filter.refined.length_blocks),
                       0.f)),
       filter_analysis_states_(num_capture_channels,
                               FilterAnalysisState(config)),
       filter_delays_blocks_(num_capture_channels, 0) {
   Reset();
 }

 FilterAnalyzer::~FilterAnalyzer() = default;

 void FilterAnalyzer::Reset() {
   blocks_since_reset_ = 0;
   ResetRegion();
   for (auto& state : filter_analysis_states_) {
     state.Reset(default_gain_);
   }
   std::fill(filter_delays_blocks_.begin(), filter_delays_blocks_.end(), 0);
 }

 void FilterAnalyzer::Update(
     rtc::ArrayView<const std::vector<float>> filters_time_domain,
     const RenderBuffer& render_buffer,
     bool* any_filter_consistent,
     float* max_echo_path_gain) {
   RTC_DCHECK(any_filter_consistent);
   RTC_DCHECK(max_echo_path_gain);
   RTC_DCHECK_EQ(filters_time_domain.size(), filter_analysis_states_.size());
   RTC_DCHECK_EQ(filters_time_domain.size(), h_highpass_.size());

   ++blocks_since_reset_;
   SetRegionToAnalyze(filters_time_domain[0].size());
   AnalyzeRegion(filters_time_domain, render_buffer);

   // Aggregate the results for all capture channels.
   auto& st_ch0 = filter_analysis_states_[0];
   *any_filter_consistent = st_ch0.consistent_estimate;
   *max_echo_path_gain = st_ch0.gain;
   min_filter_delay_blocks_ = filter_delays_blocks_[0];
   for (size_t ch = 1; ch < filters_time_domain.size(); ++ch) {
     auto& st_ch = filter_analysis_states_[ch];
     *any_filter_consistent =
         *any_filter_consistent || st_ch.consistent_estimate;
     *max_echo_path_gain = std::max(*max_echo_path_gain, st_ch.gain);
     min_filter_delay_blocks_ =
         std::min(min_filter_delay_blocks_, filter_delays_blocks_[ch]);
   }
 }

 void FilterAnalyzer::AnalyzeRegion(
     rtc::ArrayView<const std::vector<float>> filters_time_domain,
     const RenderBuffer& render_buffer) {
   // Preprocess the filter to avoid issues with low-frequency components in the
   // filter.
   PreProcessFilters(filters_time_domain);
   data_dumper_->DumpRaw("aec3_linear_filter_processed_td", h_highpass_[0]);

   constexpr float kOneByBlockSize = 1.f / kBlockSize;
   for (size_t ch = 0; ch < filters_time_domain.size(); ++ch) {
     RTC_DCHECK_LT(region_.start_sample_, filters_time_domain[ch].size());
     RTC_DCHECK_LT(region_.end_sample_, filters_time_domain[ch].size());

     auto& st_ch = filter_analysis_states_[ch];
     RTC_DCHECK_EQ(h_highpass_[ch].size(), filters_time_domain[ch].size());
     RTC_DCHECK_GT(h_highpass_[ch].size(), 0);
     st_ch.peak_index = std::min(st_ch.peak_index, h_highpass_[ch].size() - 1);

     st_ch.peak_index =
         FindPeakIndex(h_highpass_[ch], st_ch.peak_index, region_.start_sample_,
                       region_.end_sample_);
     filter_delays_blocks_[ch] = st_ch.peak_index >> kBlockSizeLog2;
     UpdateFilterGain(h_highpass_[ch], &st_ch);
     st_ch.filter_length_blocks =
         filters_time_domain[ch].size() * kOneByBlockSize;

     st_ch.consistent_estimate = st_ch.consistent_filter_detector.Detect(
         h_highpass_[ch], region_,
         render_buffer.GetBlock(-filter_delays_blocks_[ch]), st_ch.peak_index,
         filter_delays_blocks_[ch]);
   }
 }

 void FilterAnalyzer::UpdateFilterGain(
     rtc::ArrayView<const float> filter_time_domain,
     FilterAnalysisState* st) {
   bool sufficient_time_to_converge =
       blocks_since_reset_ > 5 * kNumBlocksPerSecond;

   if (sufficient_time_to_converge && st->consistent_estimate) {
     st->gain = fabsf(filter_time_domain[st->peak_index]);
   } else {
     // TODO(peah): Verify whether this check against a float is ok.
     if (st->gain) {
       st->gain = std::max(st->gain, fabsf(filter_time_domain[st->peak_index]));
     }
   }

   if (bounded_erl_ && st->gain) {
     st->gain = std::max(st->gain, 0.01f);
   }
 }

 void FilterAnalyzer::PreProcessFilters(
     rtc::ArrayView<const std::vector<float>> filters_time_domain) {
   for (size_t ch = 0; ch < filters_time_domain.size(); ++ch) {
     RTC_DCHECK_LT(region_.start_sample_, filters_time_domain[ch].size());
     RTC_DCHECK_LT(region_.end_sample_, filters_time_domain[ch].size());

     RTC_DCHECK_GE(h_highpass_[ch].capacity(), filters_time_domain[ch].size());
     h_highpass_[ch].resize(filters_time_domain[ch].size());
     // Minimum phase high-pass filter with cutoff frequency at about 600 Hz.
     constexpr std::array<float, 3> h = {
         {0.7929742f, -0.36072128f, -0.47047766f}};

     std::fill(h_highpass_[ch].begin() + region_.start_sample_,
               h_highpass_[ch].begin() + region_.end_sample_ + 1, 0.f);
     float* h_highpass_ch = h_highpass_[ch].data();
     const float* filters_time_domain_ch = filters_time_domain[ch].data();
     const size_t region_end = region_.end_sample_;
     for (size_t k = std::max(h.size() - 1, region_.start_sample_);
          k <= region_end; ++k) {
       float tmp = h_highpass_ch[k];
       for (size_t j = 0; j < h.size(); ++j) {
         tmp += filters_time_domain_ch[k - j] * h[j];
       }
       h_highpass_ch[k] = tmp;
     }
   }
 }

 void FilterAnalyzer::ResetRegion() {
   region_.start_sample_ = 0;
   region_.end_sample_ = 0;
 }

 void FilterAnalyzer::SetRegionToAnalyze(size_t filter_size) {
   constexpr size_t kNumberBlocksToUpdate = 1;
   auto& r = region_;
   r.start_sample_ = r.end_sample_ >= filter_size - 1 ? 0 : r.end_sample_ + 1;
   r.end_sample_ =
       std::min(r.start_sample_ + kNumberBlocksToUpdate * kBlockSize - 1,
                filter_size - 1);

   // Check range.
   RTC_DCHECK_LT(r.start_sample_, filter_size);
   RTC_DCHECK_LT(r.end_sample_, filter_size);
   RTC_DCHECK_LE(r.start_sample_, r.end_sample_);
 }

 FilterAnalyzer::ConsistentFilterDetector::ConsistentFilterDetector(
     const EchoCanceller3Config& config)
     : active_render_threshold_(config.render_levels.active_render_limit *
                                config.render_levels.active_render_limit *
                                kFftLengthBy2) {
   Reset();
 }

 void FilterAnalyzer::ConsistentFilterDetector::Reset() {
   significant_peak_ = false;
   filter_floor_accum_ = 0.f;
   filter_secondary_peak_ = 0.f;
   filter_floor_low_limit_ = 0;
   filter_floor_high_limit_ = 0;
   consistent_estimate_counter_ = 0;
   consistent_delay_reference_ = -10;
 }

 bool FilterAnalyzer::ConsistentFilterDetector::Detect(
     rtc::ArrayView<const float> filter_to_analyze,
     const FilterRegion& region,
     const Block& x_block,
     size_t peak_index,
     int delay_blocks) {
   if (region.start_sample_ == 0) {
     filter_floor_accum_ = 0.f;
     filter_secondary_peak_ = 0.f;
     filter_floor_low_limit_ = peak_index < 64 ? 0 : peak_index - 64;
     filter_floor_high_limit_ =
         peak_index > filter_to_analyze.size() - 129 ? 0 : peak_index + 128;
   }

   float filter_floor_accum = filter_floor_accum_;
   float filter_secondary_peak = filter_secondary_peak_;
   for (size_t k = region.start_sample_;
        k < std::min(region.end_sample_ + 1, filter_floor_low_limit_); ++k) {
     float abs_h = fabsf(filter_to_analyze[k]);
     filter_floor_accum += abs_h;
     filter_secondary_peak = std::max(filter_secondary_peak, abs_h);
   }

   for (size_t k = std::max(filter_floor_high_limit_, region.start_sample_);
        k <= region.end_sample_; ++k) {
     float abs_h = fabsf(filter_to_analyze[k]);
     filter_floor_accum += abs_h;
     filter_secondary_peak = std::max(filter_secondary_peak, abs_h);
   }
   filter_floor_accum_ = filter_floor_accum;
   filter_secondary_peak_ = filter_secondary_peak;

   if (region.end_sample_ == filter_to_analyze.size() - 1) {
     float filter_floor = filter_floor_accum_ /
                          (filter_floor_low_limit_ + filter_to_analyze.size() -
                           filter_floor_high_limit_);

     float abs_peak = fabsf(filter_to_analyze[peak_index]);
     significant_peak_ = abs_peak > 10.f * filter_floor &&
                         abs_peak > 2.f * filter_secondary_peak_;
   }

   if (significant_peak_) {
     bool active_render_block = false;
     for (int ch = 0; ch < x_block.NumChannels(); ++ch) {
       rtc::ArrayView<const float, kBlockSize> x_channel =
           x_block.View(/*band=*/0, ch);
       const float x_energy = std::inner_product(
           x_channel.begin(), x_channel.end(), x_channel.begin(), 0.f);
       if (x_energy > active_render_threshold_) {
         active_render_block = true;
         break;
       }
     }

     if (consistent_delay_reference_ == delay_blocks) {
       if (active_render_block) {
         ++consistent_estimate_counter_;
       }
     } else {
       consistent_estimate_counter_ = 0;
       consistent_delay_reference_ = delay_blocks;
     }
   }
   return consistent_estimate_counter_ > 1.5f * kNumBlocksPerSecond;
 }

 }  // namespace webrtc
	/*
	* Copyright (c) 2017 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/aec3/filter_analyzer.h"

	#include <math.h>

	#include <algorithm>
	#include <array>
	#include <numeric>

	#include "modules/audio_processing/aec3/aec3_common.h"
	#include "modules/audio_processing/aec3/render_buffer.h"
	#include "modules/audio_processing/logging/apm_data_dumper.h"
	#include "rtc_base/atomic_ops.h"
	#include "rtc_base/checks.h"

	namespace webrtc {
	namespace {

	size_t FindPeakIndex(rtc::ArrayView<const float> filter_time_domain,
	size_t peak_index_in,
	size_t start_sample,
	size_t end_sample) {
	size_t peak_index_out = peak_index_in;
	float max_h2 =
	filter_time_domain[peak_index_out] * filter_time_domain[peak_index_out];
	for (size_t k = start_sample; k <= end_sample; ++k) {
	float tmp = filter_time_domain[k] * filter_time_domain[k];
	if (tmp > max_h2) {
	peak_index_out = k;
	max_h2 = tmp;
	}
	}

	return peak_index_out;
	}

	} // namespace

	int FilterAnalyzer::instance_count_ = 0;

	FilterAnalyzer::FilterAnalyzer(const EchoCanceller3Config& config,
	size_t num_capture_channels)
	: data_dumper_(
	new ApmDataDumper(rtc::AtomicOps::Increment(&instance_count_))),
	bounded_erl_(config.ep_strength.bounded_erl),
	default_gain_(config.ep_strength.default_gain),
	h_highpass_(num_capture_channels,
	std::vector<float>(
	GetTimeDomainLength(config.filter.refined.length_blocks),
	0.f)),
	filter_analysis_states_(num_capture_channels,
	FilterAnalysisState(config)),
	filter_delays_blocks_(num_capture_channels, 0) {
	Reset();
	}

	FilterAnalyzer::~FilterAnalyzer() = default;

	void FilterAnalyzer::Reset() {
	blocks_since_reset_ = 0;
	ResetRegion();
	for (auto& state : filter_analysis_states_) {
	state.Reset(default_gain_);
	}
	std::fill(filter_delays_blocks_.begin(), filter_delays_blocks_.end(), 0);
	}

	void FilterAnalyzer::Update(
	rtc::ArrayView<const std::vector<float>> filters_time_domain,
	const RenderBuffer& render_buffer,
	bool* any_filter_consistent,
	float* max_echo_path_gain) {
	RTC_DCHECK(any_filter_consistent);
	RTC_DCHECK(max_echo_path_gain);
	RTC_DCHECK_EQ(filters_time_domain.size(), filter_analysis_states_.size());
	RTC_DCHECK_EQ(filters_time_domain.size(), h_highpass_.size());

	++blocks_since_reset_;
	SetRegionToAnalyze(filters_time_domain[0].size());
	AnalyzeRegion(filters_time_domain, render_buffer);

	// Aggregate the results for all capture channels.
	auto& st_ch0 = filter_analysis_states_[0];
	*any_filter_consistent = st_ch0.consistent_estimate;
	*max_echo_path_gain = st_ch0.gain;
	min_filter_delay_blocks_ = filter_delays_blocks_[0];
	for (size_t ch = 1; ch < filters_time_domain.size(); ++ch) {
	auto& st_ch = filter_analysis_states_[ch];
	*any_filter_consistent =
	*any_filter_consistent \|\| st_ch.consistent_estimate;
	max_echo_path_gain = std::max(max_echo_path_gain, st_ch.gain);
	min_filter_delay_blocks_ =
	std::min(min_filter_delay_blocks_, filter_delays_blocks_[ch]);
	}
	}

	void FilterAnalyzer::AnalyzeRegion(
	rtc::ArrayView<const std::vector<float>> filters_time_domain,
	const RenderBuffer& render_buffer) {
	// Preprocess the filter to avoid issues with low-frequency components in the
	// filter.
	PreProcessFilters(filters_time_domain);
	data_dumper_->DumpRaw("aec3_linear_filter_processed_td", h_highpass_[0]);

	constexpr float kOneByBlockSize = 1.f / kBlockSize;
	for (size_t ch = 0; ch < filters_time_domain.size(); ++ch) {
	RTC_DCHECK_LT(region_.start_sample_, filters_time_domain[ch].size());
	RTC_DCHECK_LT(region_.end_sample_, filters_time_domain[ch].size());

	auto& st_ch = filter_analysis_states_[ch];
	RTC_DCHECK_EQ(h_highpass_[ch].size(), filters_time_domain[ch].size());
	RTC_DCHECK_GT(h_highpass_[ch].size(), 0);
	st_ch.peak_index = std::min(st_ch.peak_index, h_highpass_[ch].size() - 1);

	st_ch.peak_index =
	FindPeakIndex(h_highpass_[ch], st_ch.peak_index, region_.start_sample_,
	region_.end_sample_);
	filter_delays_blocks_[ch] = st_ch.peak_index >> kBlockSizeLog2;
	UpdateFilterGain(h_highpass_[ch], &st_ch);
	st_ch.filter_length_blocks =
	filters_time_domain[ch].size() * kOneByBlockSize;

	st_ch.consistent_estimate = st_ch.consistent_filter_detector.Detect(
	h_highpass_[ch], region_,
	render_buffer.GetBlock(-filter_delays_blocks_[ch]), st_ch.peak_index,
	filter_delays_blocks_[ch]);
	}
	}

	void FilterAnalyzer::UpdateFilterGain(
	rtc::ArrayView<const float> filter_time_domain,
	FilterAnalysisState* st) {
	bool sufficient_time_to_converge =
	blocks_since_reset_ > 5 * kNumBlocksPerSecond;

	if (sufficient_time_to_converge && st->consistent_estimate) {
	st->gain = fabsf(filter_time_domain[st->peak_index]);
	} else {
	// TODO(peah): Verify whether this check against a float is ok.
	if (st->gain) {
	st->gain = std::max(st->gain, fabsf(filter_time_domain[st->peak_index]));
	}
	}

	if (bounded_erl_ && st->gain) {
	st->gain = std::max(st->gain, 0.01f);
	}
	}

	void FilterAnalyzer::PreProcessFilters(
	rtc::ArrayView<const std::vector<float>> filters_time_domain) {
	for (size_t ch = 0; ch < filters_time_domain.size(); ++ch) {
	RTC_DCHECK_LT(region_.start_sample_, filters_time_domain[ch].size());
	RTC_DCHECK_LT(region_.end_sample_, filters_time_domain[ch].size());

	RTC_DCHECK_GE(h_highpass_[ch].capacity(), filters_time_domain[ch].size());
	h_highpass_[ch].resize(filters_time_domain[ch].size());
	// Minimum phase high-pass filter with cutoff frequency at about 600 Hz.
	constexpr std::array<float, 3> h = {
	{0.7929742f, -0.36072128f, -0.47047766f}};

	std::fill(h_highpass_[ch].begin() + region_.start_sample_,
	h_highpass_[ch].begin() + region_.end_sample_ + 1, 0.f);
	float* h_highpass_ch = h_highpass_[ch].data();
	const float* filters_time_domain_ch = filters_time_domain[ch].data();
	const size_t region_end = region_.end_sample_;
	for (size_t k = std::max(h.size() - 1, region_.start_sample_);
	k <= region_end; ++k) {
	float tmp = h_highpass_ch[k];
	for (size_t j = 0; j < h.size(); ++j) {
	tmp += filters_time_domain_ch[k - j] * h[j];
	}
	h_highpass_ch[k] = tmp;
	}
	}
	}

	void FilterAnalyzer::ResetRegion() {
	region_.start_sample_ = 0;
	region_.end_sample_ = 0;
	}

	void FilterAnalyzer::SetRegionToAnalyze(size_t filter_size) {
	constexpr size_t kNumberBlocksToUpdate = 1;
	auto& r = region_;
	r.start_sample_ = r.end_sample_ >= filter_size - 1 ? 0 : r.end_sample_ + 1;
	r.end_sample_ =
	std::min(r.start_sample_ + kNumberBlocksToUpdate * kBlockSize - 1,
	filter_size - 1);

	// Check range.
	RTC_DCHECK_LT(r.start_sample_, filter_size);
	RTC_DCHECK_LT(r.end_sample_, filter_size);
	RTC_DCHECK_LE(r.start_sample_, r.end_sample_);
	}

	FilterAnalyzer::ConsistentFilterDetector::ConsistentFilterDetector(
	const EchoCanceller3Config& config)
	: active_render_threshold_(config.render_levels.active_render_limit *
	config.render_levels.active_render_limit *
	kFftLengthBy2) {
	Reset();
	}

	void FilterAnalyzer::ConsistentFilterDetector::Reset() {
	significant_peak_ = false;
	filter_floor_accum_ = 0.f;
	filter_secondary_peak_ = 0.f;
	filter_floor_low_limit_ = 0;
	filter_floor_high_limit_ = 0;
	consistent_estimate_counter_ = 0;
	consistent_delay_reference_ = -10;
	}

	bool FilterAnalyzer::ConsistentFilterDetector::Detect(
	rtc::ArrayView<const float> filter_to_analyze,
	const FilterRegion& region,
	const Block& x_block,
	size_t peak_index,
	int delay_blocks) {
	if (region.start_sample_ == 0) {
	filter_floor_accum_ = 0.f;
	filter_secondary_peak_ = 0.f;
	filter_floor_low_limit_ = peak_index < 64 ? 0 : peak_index - 64;
	filter_floor_high_limit_ =
	peak_index > filter_to_analyze.size() - 129 ? 0 : peak_index + 128;
	}

	float filter_floor_accum = filter_floor_accum_;
	float filter_secondary_peak = filter_secondary_peak_;
	for (size_t k = region.start_sample_;
	k < std::min(region.end_sample_ + 1, filter_floor_low_limit_); ++k) {
	float abs_h = fabsf(filter_to_analyze[k]);
	filter_floor_accum += abs_h;
	filter_secondary_peak = std::max(filter_secondary_peak, abs_h);
	}

	for (size_t k = std::max(filter_floor_high_limit_, region.start_sample_);
	k <= region.end_sample_; ++k) {
	float abs_h = fabsf(filter_to_analyze[k]);
	filter_floor_accum += abs_h;
	filter_secondary_peak = std::max(filter_secondary_peak, abs_h);
	}
	filter_floor_accum_ = filter_floor_accum;
	filter_secondary_peak_ = filter_secondary_peak;

	if (region.end_sample_ == filter_to_analyze.size() - 1) {
	float filter_floor = filter_floor_accum_ /
	(filter_floor_low_limit_ + filter_to_analyze.size() -
	filter_floor_high_limit_);

	float abs_peak = fabsf(filter_to_analyze[peak_index]);
	significant_peak_ = abs_peak > 10.f * filter_floor &&
	abs_peak > 2.f * filter_secondary_peak_;
	}

	if (significant_peak_) {
	bool active_render_block = false;
	for (int ch = 0; ch < x_block.NumChannels(); ++ch) {
	rtc::ArrayView<const float, kBlockSize> x_channel =
	x_block.View(/band=/0, ch);
	const float x_energy = std::inner_product(
	x_channel.begin(), x_channel.end(), x_channel.begin(), 0.f);
	if (x_energy > active_render_threshold_) {
	active_render_block = true;
	break;
	}
	}

	if (consistent_delay_reference_ == delay_blocks) {
	if (active_render_block) {
	++consistent_estimate_counter_;
	}
	} else {
	consistent_estimate_counter_ = 0;
	consistent_delay_reference_ = delay_blocks;
	}
	}
	return consistent_estimate_counter_ > 1.5f * kNumBlocksPerSecond;
	}

	} // namespace webrtc