mirror of
https://github.com/danog/libtgvoip.git
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151 lines
5.5 KiB
C++
151 lines
5.5 KiB
C++
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/*
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* Copyright (c) 2018 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 "modules/audio_processing/agc2/limiter.h"
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#include <algorithm>
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#include <array>
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#include <cmath>
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#include "api/array_view.h"
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#include "modules/audio_processing/agc2/agc2_common.h"
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#include "modules/audio_processing/logging/apm_data_dumper.h"
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#include "rtc_base/checks.h"
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#include "rtc_base/numerics/safe_minmax.h"
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namespace webrtc {
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namespace {
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// This constant affects the way scaling factors are interpolated for the first
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// sub-frame of a frame. Only in the case in which the first sub-frame has an
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// estimated level which is greater than the that of the previous analyzed
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// sub-frame, linear interpolation is replaced with a power function which
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// reduces the chances of over-shooting (and hence saturation), however reducing
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// the fixed gain effectiveness.
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constexpr float kAttackFirstSubframeInterpolationPower = 8.f;
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void InterpolateFirstSubframe(float last_factor,
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float current_factor,
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rtc::ArrayView<float> subframe) {
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const auto n = subframe.size();
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constexpr auto p = kAttackFirstSubframeInterpolationPower;
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for (size_t i = 0; i < n; ++i) {
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subframe[i] = std::pow(1.f - i / n, p) * (last_factor - current_factor) +
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current_factor;
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}
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}
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void ComputePerSampleSubframeFactors(
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const std::array<float, kSubFramesInFrame + 1>& scaling_factors,
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size_t samples_per_channel,
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rtc::ArrayView<float> per_sample_scaling_factors) {
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const size_t num_subframes = scaling_factors.size() - 1;
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const size_t subframe_size =
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rtc::CheckedDivExact(samples_per_channel, num_subframes);
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// Handle first sub-frame differently in case of attack.
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const bool is_attack = scaling_factors[0] > scaling_factors[1];
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if (is_attack) {
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InterpolateFirstSubframe(
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scaling_factors[0], scaling_factors[1],
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rtc::ArrayView<float>(
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per_sample_scaling_factors.subview(0, subframe_size)));
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}
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for (size_t i = is_attack ? 1 : 0; i < num_subframes; ++i) {
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const size_t subframe_start = i * subframe_size;
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const float scaling_start = scaling_factors[i];
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const float scaling_end = scaling_factors[i + 1];
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const float scaling_diff = (scaling_end - scaling_start) / subframe_size;
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for (size_t j = 0; j < subframe_size; ++j) {
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per_sample_scaling_factors[subframe_start + j] =
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scaling_start + scaling_diff * j;
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}
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}
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}
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void ScaleSamples(rtc::ArrayView<const float> per_sample_scaling_factors,
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AudioFrameView<float> signal) {
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const size_t samples_per_channel = signal.samples_per_channel();
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RTC_DCHECK_EQ(samples_per_channel, per_sample_scaling_factors.size());
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for (size_t i = 0; i < signal.num_channels(); ++i) {
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auto channel = signal.channel(i);
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for (size_t j = 0; j < samples_per_channel; ++j) {
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channel[j] = rtc::SafeClamp(channel[j] * per_sample_scaling_factors[j],
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kMinFloatS16Value, kMaxFloatS16Value);
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}
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}
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}
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void CheckLimiterSampleRate(size_t sample_rate_hz) {
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// Check that per_sample_scaling_factors_ is large enough.
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RTC_DCHECK_LE(sample_rate_hz,
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kMaximalNumberOfSamplesPerChannel * 1000 / kFrameDurationMs);
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}
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} // namespace
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Limiter::Limiter(size_t sample_rate_hz,
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ApmDataDumper* apm_data_dumper,
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std::string histogram_name)
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: interp_gain_curve_(apm_data_dumper, histogram_name),
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level_estimator_(sample_rate_hz, apm_data_dumper),
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apm_data_dumper_(apm_data_dumper) {
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CheckLimiterSampleRate(sample_rate_hz);
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}
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Limiter::~Limiter() = default;
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void Limiter::Process(AudioFrameView<float> signal) {
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const auto level_estimate = level_estimator_.ComputeLevel(signal);
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RTC_DCHECK_EQ(level_estimate.size() + 1, scaling_factors_.size());
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scaling_factors_[0] = last_scaling_factor_;
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std::transform(level_estimate.begin(), level_estimate.end(),
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scaling_factors_.begin() + 1, [this](float x) {
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return interp_gain_curve_.LookUpGainToApply(x);
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});
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const size_t samples_per_channel = signal.samples_per_channel();
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RTC_DCHECK_LE(samples_per_channel, kMaximalNumberOfSamplesPerChannel);
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auto per_sample_scaling_factors = rtc::ArrayView<float>(
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&per_sample_scaling_factors_[0], samples_per_channel);
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ComputePerSampleSubframeFactors(scaling_factors_, samples_per_channel,
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per_sample_scaling_factors);
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ScaleSamples(per_sample_scaling_factors, signal);
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last_scaling_factor_ = scaling_factors_.back();
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// Dump data for debug.
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apm_data_dumper_->DumpRaw("agc2_gain_curve_applier_scaling_factors",
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samples_per_channel,
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per_sample_scaling_factors_.data());
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}
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InterpolatedGainCurve::Stats Limiter::GetGainCurveStats() const {
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return interp_gain_curve_.get_stats();
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}
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void Limiter::SetSampleRate(size_t sample_rate_hz) {
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CheckLimiterSampleRate(sample_rate_hz);
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level_estimator_.SetSampleRate(sample_rate_hz);
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}
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void Limiter::Reset() {
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level_estimator_.Reset();
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}
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float Limiter::LastAudioLevel() const {
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return level_estimator_.LastAudioLevel();
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}
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} // namespace webrtc
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