mirror of
https://github.com/danog/libtgvoip.git
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5caaaafa42
I'm now using the entire audio processing module from WebRTC as opposed to individual DSP algorithms pulled from there before. Seems to work better this way.
151 lines
5.5 KiB
C++
151 lines
5.5 KiB
C++
/*
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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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