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Unified Diff: webrtc/modules/audio_processing/aec3/echo_remover_metrics.cc

Issue 2722453002: Adding metrics to AEC3 (Closed)
Patch Set: Changed some of the names for the metrics Created 3 years, 10 months ago
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Index: webrtc/modules/audio_processing/aec3/echo_remover_metrics.cc
diff --git a/webrtc/modules/audio_processing/aec3/echo_remover_metrics.cc b/webrtc/modules/audio_processing/aec3/echo_remover_metrics.cc
new file mode 100644
index 0000000000000000000000000000000000000000..16a36f4fb9e8378c3762b6a365e2002b395cf64a
--- /dev/null
+++ b/webrtc/modules/audio_processing/aec3/echo_remover_metrics.cc
@@ -0,0 +1,284 @@
+/*
+ * 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 "webrtc/modules/audio_processing/aec3/echo_remover_metrics.h"
+
+#include <math.h>
+#include <algorithm>
+#include <numeric>
+
+#include "webrtc/system_wrappers/include/metrics.h"
+
+namespace webrtc {
+
+namespace {
+
+constexpr float kOneByMetricsCollectionBlocks = 1.f / kMetricsCollectionBlocks;
+
+} // namespace
+
+EchoRemoverMetrics::DbMetric::DbMetric() : DbMetric(0.f, 0.f, 0.f) {}
+EchoRemoverMetrics::DbMetric::DbMetric(float sum_value,
+ float floor_value,
+ float ceil_value)
+ : sum_value(sum_value), floor_value(floor_value), ceil_value(ceil_value) {}
+
+void EchoRemoverMetrics::DbMetric::Update(float value) {
+ sum_value += value;
+ floor_value = std::min(floor_value, value);
+ ceil_value = std::max(ceil_value, value);
+}
+
+EchoRemoverMetrics::EchoRemoverMetrics() {
+ ResetMetrics();
+}
+
+void EchoRemoverMetrics::ResetMetrics() {
+ erl_.fill(DbMetric(0.f, 10000.f, 0.000f));
+ erle_.fill(DbMetric(0.f, 0.f, 1000.f));
+ comfort_noise_.fill(DbMetric(0.f, 100000000.f, 0.f));
+ suppressor_gain_.fill(DbMetric(0.f, 1.f, 0.f));
+ active_render_count_ = 0;
+ saturated_capture_ = false;
+}
+
+void EchoRemoverMetrics::Update(
+ const AecState& aec_state,
+ const std::array<float, kFftLengthBy2Plus1>& comfort_noise_spectrum,
+ const std::array<float, kFftLengthBy2Plus1>& suppressor_gain) {
+ metrics_reported_ = false;
+ if (++block_counter_ <= kMetricsCollectionBlocks) {
+ aec3::UpdateDbMetric(aec_state.Erl(), &erl_);
+ aec3::UpdateDbMetric(aec_state.Erle(), &erle_);
+ aec3::UpdateDbMetric(comfort_noise_spectrum, &comfort_noise_);
+ aec3::UpdateDbMetric(suppressor_gain, &suppressor_gain_);
+ active_render_count_ += (aec_state.ActiveRender() ? 1 : 0);
+ saturated_capture_ = saturated_capture_ || aec_state.SaturatedCapture();
+ } else {
+ // Report the metrics over several frames in order to lower the impact of
+ // the logarithms involved on the computational complexity.
+ constexpr int kMetricsCollectionBlocksBy2 = kMetricsCollectionBlocks / 2;
+ constexpr float kComfortNoiseScaling = 1.f / (kBlockSize * kBlockSize);
+ switch (block_counter_) {
+ case kMetricsCollectionBlocks + 1:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErleBand0.Average",
+ aec3::TransformDbMetricForReporting(true, 0.f, 19.f, 0.f,
+ kOneByMetricsCollectionBlocks,
+ erle_[0].sum_value),
+ 0, 19, 20);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErleBand0.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 19.f, 0.f, 1.f,
+ erle_[0].ceil_value),
+ 0, 19, 20);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErleBand0.Min",
+ aec3::TransformDbMetricForReporting(true, 0.f, 19.f, 0.f, 1.f,
+ erle_[0].floor_value),
+ 0, 19, 20);
+ break;
+ case kMetricsCollectionBlocks + 2:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErleBand1.Average",
+ aec3::TransformDbMetricForReporting(true, 0.f, 19.f, 0.f,
+ kOneByMetricsCollectionBlocks,
+ erle_[1].sum_value),
+ 0, 19, 20);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErleBand1.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 19.f, 0.f, 1.f,
+ erle_[1].ceil_value),
+ 0, 19, 20);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErleBand1.Min",
+ aec3::TransformDbMetricForReporting(true, 0.f, 19.f, 0.f, 1.f,
+ erle_[1].floor_value),
+ 0, 19, 20);
+ break;
+ case kMetricsCollectionBlocks + 3:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErlBand0.Average",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 30.f,
+ kOneByMetricsCollectionBlocks,
+ erl_[0].sum_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErlBand0.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 30.f, 1.f,
+ erl_[0].ceil_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErlBand0.Min",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 30.f, 1.f,
+ erl_[0].floor_value),
+ 0, 59, 30);
+ break;
+ case kMetricsCollectionBlocks + 4:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErlBand1.Average",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 30.f,
+ kOneByMetricsCollectionBlocks,
+ erl_[1].sum_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErlBand1.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 30.f, 1.f,
+ erl_[1].ceil_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ErlBand1.Min",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 30.f, 1.f,
+ erl_[1].floor_value),
+ 0, 59, 30);
+ break;
+ case kMetricsCollectionBlocks + 5:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ComfortNoiseBand0.Average",
+ aec3::TransformDbMetricForReporting(
+ true, 0.f, 89.f, -90.3f,
+ kComfortNoiseScaling * kOneByMetricsCollectionBlocks,
+ comfort_noise_[0].sum_value),
+ 0, 89, 45);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ComfortNoiseBand0.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 89.f, -90.3f,
+ kComfortNoiseScaling,
+ comfort_noise_[0].ceil_value),
+ 0, 89, 45);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ComfortNoiseBand0.Min",
+ aec3::TransformDbMetricForReporting(true, 0.f, 89.f, -90.3f,
+ kComfortNoiseScaling,
+ comfort_noise_[0].floor_value),
+ 0, 89, 45);
+ break;
+ case kMetricsCollectionBlocks + 6:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ComfortNoiseBand1.Average",
+ aec3::TransformDbMetricForReporting(
+ true, 0.f, 89.f, -90.3f,
+ kComfortNoiseScaling * kOneByMetricsCollectionBlocks,
+ comfort_noise_[1].sum_value),
+ 0, 89, 45);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ComfortNoiseBand1.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 89.f, -90.3f,
+ kComfortNoiseScaling,
+ comfort_noise_[1].ceil_value),
+ 0, 89, 45);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.ComfortNoiseBand1.Min",
+ aec3::TransformDbMetricForReporting(true, 0.f, 89.f, -90.3f,
+ kComfortNoiseScaling,
+ comfort_noise_[1].floor_value),
+ 0, 89, 45);
+ break;
+ case kMetricsCollectionBlocks + 7:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.SuppressorGainBand0.Average",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 0.f,
+ kOneByMetricsCollectionBlocks,
+ suppressor_gain_[0].sum_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.SuppressorGainBand0.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 0.f, 1.f,
+ suppressor_gain_[0].ceil_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.SuppressorGainBand0.Min",
+ aec3::TransformDbMetricForReporting(
+ true, 0.f, 59.f, 0.f, 1.f, suppressor_gain_[0].floor_value),
+ 0, 59, 30);
+ break;
+ case kMetricsCollectionBlocks + 8:
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.SuppressorGainBand1.Average",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 0.f,
+ kOneByMetricsCollectionBlocks,
+ suppressor_gain_[1].sum_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.SuppressorGainBand1.Max",
+ aec3::TransformDbMetricForReporting(true, 0.f, 59.f, 0.f, 1.f,
+ suppressor_gain_[1].ceil_value),
+ 0, 59, 30);
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.SuppressorGainBand1.Min",
+ aec3::TransformDbMetricForReporting(
+ true, 0.f, 59.f, 0.f, 1.f, suppressor_gain_[1].floor_value),
+ 0, 59, 30);
+ break;
+ case kMetricsCollectionBlocks + 9:
+ RTC_HISTOGRAM_BOOLEAN(
+ "WebRTC.Audio.EchoCanceller.UsableLinearEstimate",
+ static_cast<int>(aec_state.UsableLinearEstimate() ? 1 : 0));
+ RTC_HISTOGRAM_BOOLEAN(
+ "WebRTC.Audio.EchoCanceller.ModelBasedAecFeasible",
+ static_cast<int>(aec_state.ModelBasedAecFeasible() ? 1 : 0));
+ RTC_HISTOGRAM_BOOLEAN(
+ "WebRTC.Audio.EchoCanceller.ActiveRender",
+ static_cast<int>(
+ active_render_count_ > kMetricsCollectionBlocksBy2 ? 1 : 0));
+ RTC_HISTOGRAM_COUNTS_LINEAR(
+ "WebRTC.Audio.EchoCanceller.FilterDelay",
+ aec_state.FilterDelay() ? *aec_state.FilterDelay() + 1 : 0, 0, 30,
+ 31);
+ RTC_HISTOGRAM_BOOLEAN("WebRTC.Audio.EchoCanceller.CaptureSaturation",
+ static_cast<int>(saturated_capture_ ? 1 : 0));
+ metrics_reported_ = true;
+ RTC_DCHECK_EQ(kMetricsReportingIntervalBlocks, block_counter_);
+ block_counter_ = 0;
+ ResetMetrics();
+ break;
+ default:
+ RTC_NOTREACHED();
+ break;
+ }
+ }
+}
+
+namespace aec3 {
+
+void UpdateDbMetric(const std::array<float, kFftLengthBy2Plus1>& value,
+ std::array<EchoRemoverMetrics::DbMetric, 2>* statistic) {
+ RTC_DCHECK(statistic);
+ // Truncation is intended in the band width computation.
+ constexpr int kNumBands = 2;
+ constexpr int kBandWidth = 65 / kNumBands;
+ constexpr float kOneByBandWidth = 1.f / kBandWidth;
+ RTC_DCHECK_EQ(kNumBands, statistic->size());
+ RTC_DCHECK_EQ(65, value.size());
+ for (size_t k = 0; k < statistic->size(); ++k) {
+ float average_band =
+ std::accumulate(value.begin() + kBandWidth * k,
+ value.begin() + kBandWidth * (k + 1), 0.f) *
+ kOneByBandWidth;
+ (*statistic)[k].Update(average_band);
+ }
+}
+
+int TransformDbMetricForReporting(bool negate,
+ float min_value,
+ float max_value,
+ float offset,
+ float scaling,
+ float value) {
+ float new_value = 10.f * log10(value * scaling + 1e-10f) + offset;
+ if (negate) {
+ new_value = -new_value;
+ }
+ return static_cast<int>(std::max(min_value, std::min(max_value, new_value)));
+}
+
+} // namespace aec3
+
+} // namespace webrtc
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