1d68089f4b
This CL increases the transparency of the AEC3 via tuning. The major changes are 1) Limiting the suppression gain to the 16 bit sample floor. 2) Controlling the rate of the suppression gain increase according to the signal characteristics. Apart from these tunings, the code for the suppression gain was refactored to increase/maintain the code quality after the above changes. BUG=webrtc:7519,webrtc:7528, chromium:715893 Review-Url: https://codereview.webrtc.org/2886733002 Cr-Commit-Position: refs/heads/master@{#18229}
74 lines
2.2 KiB
C++
74 lines
2.2 KiB
C++
/*
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* Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "webrtc/modules/audio_processing/aec3/erle_estimator.h"
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#include <algorithm>
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namespace webrtc {
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namespace {
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constexpr float kMinErle = 1.f;
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constexpr float kMaxLfErle = 8.f;
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constexpr float kMaxHfErle = 1.5f;
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} // namespace
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ErleEstimator::ErleEstimator() {
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erle_.fill(kMinErle);
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hold_counters_.fill(0);
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}
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ErleEstimator::~ErleEstimator() = default;
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void ErleEstimator::Update(
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const std::array<float, kFftLengthBy2Plus1>& render_spectrum,
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const std::array<float, kFftLengthBy2Plus1>& capture_spectrum,
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const std::array<float, kFftLengthBy2Plus1>& subtractor_spectrum) {
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const auto& X2 = render_spectrum;
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const auto& Y2 = capture_spectrum;
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const auto& E2 = subtractor_spectrum;
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// Corresponds of WGN of power -46 dBFS.
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constexpr float kX2Min = 44015068.0f;
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// Update the estimates in a clamped minimum statistics manner.
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size_t k = 1;
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size_t band_limit = kFftLengthBy2 / 2;
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float max_erle = kMaxLfErle;
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for (int j = 0; j < 2; ++j) {
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for (; k < band_limit; ++k) {
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if (X2[k] > kX2Min && E2[k] > 0.f) {
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const float new_erle = Y2[k] / E2[k];
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if (new_erle > erle_[k]) {
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hold_counters_[k - 1] = 100;
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erle_[k] += 0.1f * (new_erle - erle_[k]);
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erle_[k] = std::max(kMinErle, std::min(erle_[k], max_erle));
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}
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}
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}
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band_limit = kFftLengthBy2;
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max_erle = kMaxHfErle;
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}
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std::for_each(hold_counters_.begin(), hold_counters_.end(),
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[](int& a) { --a; });
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std::transform(hold_counters_.begin(), hold_counters_.end(),
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erle_.begin() + 1, erle_.begin() + 1, [](int a, float b) {
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return a > 0 ? b : std::max(kMinErle, 0.97f * b);
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});
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erle_[0] = erle_[1];
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erle_[kFftLengthBy2] = erle_[kFftLengthBy2 - 1];
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}
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} // namespace webrtc
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