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diff --git a/third_party/libwebrtc/modules/audio_processing/agc2/rnn_vad/features_extraction.cc b/third_party/libwebrtc/modules/audio_processing/agc2/rnn_vad/features_extraction.cc
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+++ b/third_party/libwebrtc/modules/audio_processing/agc2/rnn_vad/features_extraction.cc
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+/*
+ * Copyright (c) 2018 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/agc2/rnn_vad/features_extraction.h"
+
+#include <array>
+
+#include "modules/audio_processing/agc2/rnn_vad/lp_residual.h"
+#include "rtc_base/checks.h"
+
+namespace webrtc {
+namespace rnn_vad {
+namespace {
+
+// Computed as `scipy.signal.butter(N=2, Wn=60/24000, btype='highpass')`.
+constexpr BiQuadFilter::Config kHpfConfig24k{
+ {0.99446179f, -1.98892358f, 0.99446179f},
+ {-1.98889291f, 0.98895425f}};
+
+} // namespace
+
+FeaturesExtractor::FeaturesExtractor(const AvailableCpuFeatures& cpu_features)
+ : use_high_pass_filter_(false),
+ hpf_(kHpfConfig24k),
+ pitch_buf_24kHz_(),
+ pitch_buf_24kHz_view_(pitch_buf_24kHz_.GetBufferView()),
+ lp_residual_(kBufSize24kHz),
+ lp_residual_view_(lp_residual_.data(), kBufSize24kHz),
+ pitch_estimator_(cpu_features),
+ reference_frame_view_(pitch_buf_24kHz_.GetMostRecentValuesView()) {
+ RTC_DCHECK_EQ(kBufSize24kHz, lp_residual_.size());
+ Reset();
+}
+
+FeaturesExtractor::~FeaturesExtractor() = default;
+
+void FeaturesExtractor::Reset() {
+ pitch_buf_24kHz_.Reset();
+ spectral_features_extractor_.Reset();
+ if (use_high_pass_filter_) {
+ hpf_.Reset();
+ }
+}
+
+bool FeaturesExtractor::CheckSilenceComputeFeatures(
+ rtc::ArrayView<const float, kFrameSize10ms24kHz> samples,
+ rtc::ArrayView<float, kFeatureVectorSize> feature_vector) {
+ // Pre-processing.
+ if (use_high_pass_filter_) {
+ std::array<float, kFrameSize10ms24kHz> samples_filtered;
+ hpf_.Process(samples, samples_filtered);
+ // Feed buffer with the pre-processed version of `samples`.
+ pitch_buf_24kHz_.Push(samples_filtered);
+ } else {
+ // Feed buffer with `samples`.
+ pitch_buf_24kHz_.Push(samples);
+ }
+ // Extract the LP residual.
+ float lpc_coeffs[kNumLpcCoefficients];
+ ComputeAndPostProcessLpcCoefficients(pitch_buf_24kHz_view_, lpc_coeffs);
+ ComputeLpResidual(lpc_coeffs, pitch_buf_24kHz_view_, lp_residual_view_);
+ // Estimate pitch on the LP-residual and write the normalized pitch period
+ // into the output vector (normalization based on training data stats).
+ pitch_period_48kHz_ = pitch_estimator_.Estimate(lp_residual_view_);
+ feature_vector[kFeatureVectorSize - 2] = 0.01f * (pitch_period_48kHz_ - 300);
+ // Extract lagged frames (according to the estimated pitch period).
+ RTC_DCHECK_LE(pitch_period_48kHz_ / 2, kMaxPitch24kHz);
+ auto lagged_frame = pitch_buf_24kHz_view_.subview(
+ kMaxPitch24kHz - pitch_period_48kHz_ / 2, kFrameSize20ms24kHz);
+ // Analyze reference and lagged frames checking if silence has been detected
+ // and write the feature vector.
+ return spectral_features_extractor_.CheckSilenceComputeFeatures(
+ reference_frame_view_, {lagged_frame.data(), kFrameSize20ms24kHz},
+ {feature_vector.data() + kNumLowerBands, kNumBands - kNumLowerBands},
+ {feature_vector.data(), kNumLowerBands},
+ {feature_vector.data() + kNumBands, kNumLowerBands},
+ {feature_vector.data() + kNumBands + kNumLowerBands, kNumLowerBands},
+ {feature_vector.data() + kNumBands + 2 * kNumLowerBands, kNumLowerBands},
+ &feature_vector[kFeatureVectorSize - 1]);
+}
+
+} // namespace rnn_vad
+} // namespace webrtc