Erle metric: avoid the decreasing of the metric when there is no render activity.

This change just affects the ERLE metric that is reported. The rest is unaffected and bitexact.

Bug: webrtc:12280
Change-Id: I2d28ef14a9b704c83aba18b624f67671eec4a042
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/196649
Reviewed-by: Per Åhgren <peah@webrtc.org>
Commit-Queue: Jesus de Vicente Pena <devicentepena@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#32809}
This commit is contained in:
Jesús de Vicente Peña 2020-12-08 17:34:24 +01:00 committed by Commit Bot
parent 0cb7326b54
commit 3bda2362f1
5 changed files with 18 additions and 22 deletions

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@ -47,7 +47,7 @@ void VerifyErle(
float reference_lf, float reference_lf,
float reference_hf) { float reference_hf) {
VerifyErleBands(erle, reference_lf, reference_hf); VerifyErleBands(erle, reference_lf, reference_hf);
EXPECT_NEAR(reference_lf, erle_time_domain, 0.5); EXPECT_NEAR(kTrueErle, erle_time_domain, 0.5);
} }
void FormFarendTimeFrame(std::vector<std::vector<std::vector<float>>>* x) { void FormFarendTimeFrame(std::vector<std::vector<std::vector<float>>>* x) {
@ -172,7 +172,7 @@ TEST_P(ErleEstimatorMultiChannel, VerifyErleIncreaseAndHold) {
// Verifies that the ERLE estimate is properly increased to higher values. // Verifies that the ERLE estimate is properly increased to higher values.
FormFarendFrame(*render_delay_buffer->GetRenderBuffer(), kTrueErle, &X2, E2, FormFarendFrame(*render_delay_buffer->GetRenderBuffer(), kTrueErle, &X2, E2,
Y2); Y2);
for (size_t k = 0; k < 200; ++k) { for (size_t k = 0; k < 1000; ++k) {
render_delay_buffer->Insert(x); render_delay_buffer->Insert(x);
render_delay_buffer->PrepareCaptureProcessing(); render_delay_buffer->PrepareCaptureProcessing();
estimator.Update(*render_delay_buffer->GetRenderBuffer(), estimator.Update(*render_delay_buffer->GetRenderBuffer(),
@ -237,7 +237,7 @@ TEST_P(ErleEstimatorMultiChannel, VerifyErleTrackingOnOnsets) {
} }
FormFarendFrame(*render_delay_buffer->GetRenderBuffer(), kTrueErle, &X2, E2, FormFarendFrame(*render_delay_buffer->GetRenderBuffer(), kTrueErle, &X2, E2,
Y2); Y2);
for (size_t k = 0; k < 200; ++k) { for (size_t k = 0; k < 1000; ++k) {
render_delay_buffer->Insert(x); render_delay_buffer->Insert(x);
render_delay_buffer->PrepareCaptureProcessing(); render_delay_buffer->PrepareCaptureProcessing();
estimator.Update(*render_delay_buffer->GetRenderBuffer(), estimator.Update(*render_delay_buffer->GetRenderBuffer(),

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@ -34,8 +34,8 @@ FullBandErleEstimator::FullBandErleEstimator(
const EchoCanceller3Config::Erle& config, const EchoCanceller3Config::Erle& config,
size_t num_capture_channels) size_t num_capture_channels)
: min_erle_log2_(FastApproxLog2f(config.min + kEpsilon)), : min_erle_log2_(FastApproxLog2f(config.min + kEpsilon)),
max_erle_lf_log2(FastApproxLog2f(config.max_l + kEpsilon)), max_erle_lf_log2_(FastApproxLog2f(config.max_l + kEpsilon)),
hold_counters_time_domain_(num_capture_channels, 0), hold_counters_instantaneous_erle_(num_capture_channels, 0),
erle_time_domain_log2_(num_capture_channels, min_erle_log2_), erle_time_domain_log2_(num_capture_channels, min_erle_log2_),
instantaneous_erle_(num_capture_channels, ErleInstantaneous(config)), instantaneous_erle_(num_capture_channels, ErleInstantaneous(config)),
linear_filters_qualities_(num_capture_channels) { linear_filters_qualities_(num_capture_channels) {
@ -52,8 +52,8 @@ void FullBandErleEstimator::Reset() {
UpdateQualityEstimates(); UpdateQualityEstimates();
std::fill(erle_time_domain_log2_.begin(), erle_time_domain_log2_.end(), std::fill(erle_time_domain_log2_.begin(), erle_time_domain_log2_.end(),
min_erle_log2_); min_erle_log2_);
std::fill(hold_counters_time_domain_.begin(), std::fill(hold_counters_instantaneous_erle_.begin(),
hold_counters_time_domain_.end(), 0); hold_counters_instantaneous_erle_.end(), 0);
} }
void FullBandErleEstimator::Update( void FullBandErleEstimator::Update(
@ -71,21 +71,17 @@ void FullBandErleEstimator::Update(
const float E2_sum = const float E2_sum =
std::accumulate(E2[ch].begin(), E2[ch].end(), 0.0f); std::accumulate(E2[ch].begin(), E2[ch].end(), 0.0f);
if (instantaneous_erle_[ch].Update(Y2_sum, E2_sum)) { if (instantaneous_erle_[ch].Update(Y2_sum, E2_sum)) {
hold_counters_time_domain_[ch] = kBlocksToHoldErle; hold_counters_instantaneous_erle_[ch] = kBlocksToHoldErle;
erle_time_domain_log2_[ch] += erle_time_domain_log2_[ch] +=
0.1f * ((instantaneous_erle_[ch].GetInstErleLog2().value()) - 0.05f * ((instantaneous_erle_[ch].GetInstErleLog2().value()) -
erle_time_domain_log2_[ch]); erle_time_domain_log2_[ch]);
erle_time_domain_log2_[ch] = rtc::SafeClamp(
erle_time_domain_log2_[ch], min_erle_log2_, max_erle_lf_log2);
}
}
}
--hold_counters_time_domain_[ch];
if (hold_counters_time_domain_[ch] <= 0) {
erle_time_domain_log2_[ch] = erle_time_domain_log2_[ch] =
std::max(min_erle_log2_, erle_time_domain_log2_[ch] - 0.044f); std::max(erle_time_domain_log2_[ch], min_erle_log2_);
} }
if (hold_counters_time_domain_[ch] == 0) { }
}
--hold_counters_instantaneous_erle_[ch];
if (hold_counters_instantaneous_erle_[ch] == 0) {
instantaneous_erle_[ch].ResetAccumulators(); instantaneous_erle_[ch].ResetAccumulators();
} }
} }

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@ -106,8 +106,8 @@ class FullBandErleEstimator {
}; };
const float min_erle_log2_; const float min_erle_log2_;
const float max_erle_lf_log2; const float max_erle_lf_log2_;
std::vector<int> hold_counters_time_domain_; std::vector<int> hold_counters_instantaneous_erle_;
std::vector<float> erle_time_domain_log2_; std::vector<float> erle_time_domain_log2_;
std::vector<ErleInstantaneous> instantaneous_erle_; std::vector<ErleInstantaneous> instantaneous_erle_;
std::vector<absl::optional<float>> linear_filters_qualities_; std::vector<absl::optional<float>> linear_filters_qualities_;

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@ -1 +1 @@
365a02046fdb30357d649e73766d2f6eb2b33677 1dd2c11da1f1dec49f728881628c1348e07a19cd

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@ -1 +1 @@
847035cbe0bc7ee0620c32fa5ac857cc5b2c7ec4 16e9d8f3b8b6c23b2b5100a1162acfe67acc37a7