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460 lines
16 KiB
C++
460 lines
16 KiB
C++
#include "lufsmeter.h"
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#include <algorithm>
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#include <chrono>
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#include <cmath>
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namespace Visualizer {
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namespace {
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constexpr double PI = 3.14159265358979323846;
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constexpr double METER_MIN_LUFS = -60.0;
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constexpr double VU_METER_MIN_DB = -60.0;
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constexpr double VU_METER_MAX_DB = 0.0;
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constexpr double MOMENTARY_WINDOW_S = 0.4;
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constexpr double SHORT_TERM_WINDOW_S = 3.0;
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constexpr double INTEGRATED_BLOCK_S = 0.4;
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constexpr double INTEGRATED_HOP_S = 0.1;
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constexpr double ABSOLUTE_GATE_LUFS = -70.0;
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constexpr double RELATIVE_GATE_OFFSET = -10.0;
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constexpr double INTEGRATED_HISTOGRAM_MIN_LUFS = ABSOLUTE_GATE_LUFS;
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constexpr double INTEGRATED_HISTOGRAM_MAX_LUFS = 10.0;
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constexpr double INTEGRATED_HISTOGRAM_BIN_WIDTH = 0.1;
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constexpr size_t INTEGRATED_HISTOGRAM_BIN_COUNT =
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static_cast<size_t>((INTEGRATED_HISTOGRAM_MAX_LUFS - INTEGRATED_HISTOGRAM_MIN_LUFS)
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/ INTEGRATED_HISTOGRAM_BIN_WIDTH + 0.5) + 1;
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constexpr double PRE_FILTER_F0_HZ = 1681.9744509555319;
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constexpr double PRE_FILTER_GAIN_DB = 3.999843853973347;
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constexpr double PRE_FILTER_Q = 0.7071752369554193;
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constexpr double RLB_FILTER_F0_HZ = 38.13547087613982;
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constexpr double RLB_FILTER_Q = 0.5003270373223665;
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constexpr double VU_INTEGRATION_WINDOW_MS = 300.0;
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constexpr double VU_PEAK_HOLD_MS = 750.0;
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constexpr double VU_PEAK_DECAY_DB_PER_SECOND = 18.0;
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constexpr double BAR_ATTACK_MS = 5.0;
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constexpr double BAR_RELEASE_MS = 180.0;
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LUFSMeterSnapshot makeInitialSnapshot() {
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return {
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static_cast<float>(METER_MIN_LUFS),
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static_cast<float>(METER_MIN_LUFS),
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static_cast<float>(METER_MIN_LUFS),
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static_cast<float>(VU_METER_MIN_DB),
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static_cast<float>(VU_METER_MIN_DB),
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static_cast<float>(VU_METER_MIN_DB),
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static_cast<float>(VU_METER_MIN_DB),
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static_cast<float>(VU_METER_MIN_DB),
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static_cast<float>(VU_METER_MIN_DB),
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0.0f,
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};
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}
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float sanitizeSampleRate(float sampleRate) {
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if (!std::isfinite(sampleRate) || sampleRate <= 0.0f) {
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return 1.0f;
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}
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return std::max(1.0f, std::floor(sampleRate));
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}
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} // namespace
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LUFSMeterAnalyzer::LUFSMeterAnalyzer() {
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configureForSampleRate(sampleRate_);
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}
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void LUFSMeterAnalyzer::setSampleRate(float sampleRate) {
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configureForSampleRate(sampleRate);
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}
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void LUFSMeterAnalyzer::configureForSampleRate(float sampleRate) {
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sampleRate_ = sanitizeSampleRate(sampleRate);
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configureKWeighting();
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const size_t ringSize = std::max<size_t>(
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1,
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static_cast<size_t>(std::ceil(static_cast<double>(sampleRate_) * SHORT_TERM_WINDOW_S))
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);
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ringBufferL_.assign(ringSize, 0.0);
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ringBufferR_.assign(ringSize, 0.0);
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integratedHistogramCounts_.assign(INTEGRATED_HISTOGRAM_BIN_COUNT, 0);
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integratedHistogramPowerSums_.assign(INTEGRATED_HISTOGRAM_BIN_COUNT, 0.0);
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configureFastMeter();
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reset();
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}
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void LUFSMeterAnalyzer::configureKWeighting() {
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preCoeffs_ = preFilterCoeffs(sampleRate_);
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rlbCoeffs_ = rlbFilterCoeffs(sampleRate_);
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}
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void LUFSMeterAnalyzer::configureFastMeter() {
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integrationWindowSamples_ = std::max<size_t>(
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1,
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static_cast<size_t>(std::round((static_cast<double>(sampleRate_) * VU_INTEGRATION_WINDOW_MS) / 1000.0))
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);
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fastSqL_.assign(integrationWindowSamples_, 0.0);
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fastSqR_.assign(integrationWindowSamples_, 0.0);
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fastCross_.assign(integrationWindowSamples_, 0.0);
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barAttackCoeff_ = std::exp(-1.0 / (static_cast<double>(sampleRate_) * (BAR_ATTACK_MS / 1000.0)));
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barReleaseCoeff_ = std::exp(-1.0 / (static_cast<double>(sampleRate_) * (BAR_RELEASE_MS / 1000.0)));
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}
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void LUFSMeterAnalyzer::reset() {
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std::fill(ringBufferL_.begin(), ringBufferL_.end(), 0.0);
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std::fill(ringBufferR_.begin(), ringBufferR_.end(), 0.0);
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ringBufferPos_ = 0;
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ringBufferFilled_ = 0;
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integratedHopCounter_ = 0;
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std::fill(integratedHistogramCounts_.begin(), integratedHistogramCounts_.end(), 0);
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std::fill(integratedHistogramPowerSums_.begin(), integratedHistogramPowerSums_.end(), 0.0);
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preFilterL_ = {};
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preFilterR_ = {};
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rlbFilterL_ = {};
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rlbFilterR_ = {};
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std::fill(fastSqL_.begin(), fastSqL_.end(), 0.0);
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std::fill(fastSqR_.begin(), fastSqR_.end(), 0.0);
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std::fill(fastCross_.begin(), fastCross_.end(), 0.0);
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fastWriteIndex_ = 0;
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fastSampleCount_ = 0;
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fastSumSqL_ = 0.0;
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fastSumSqR_ = 0.0;
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fastSumCross_ = 0.0;
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barEnvelopeL_ = 0.0;
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barEnvelopeR_ = 0.0;
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peakHoldUntilL_ = 0.0;
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peakHoldUntilR_ = 0.0;
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lastPeakUpdateMs_ = 0.0;
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hasLastPeakUpdate_ = false;
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snapshot_ = makeInitialSnapshot();
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}
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void LUFSMeterAnalyzer::pushSamples(const float* leftChannel, const float* rightChannel, size_t length) {
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if (!leftChannel || !rightChannel || length == 0) {
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return;
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}
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const double nowMs = currentTimeMs();
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advancePeaks(nowMs);
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double maxPeakL = 0.0;
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double maxPeakR = 0.0;
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for (size_t index = 0; index < length; index += 1) {
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const float left = leftChannel[index];
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const float right = rightChannel[index];
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processLoudnessSample(left, right);
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processFastMeterSample(left, right, maxPeakL, maxPeakR);
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}
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maybeUpdatePeak(amplitudeToDb(maxPeakL), nowMs, true);
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maybeUpdatePeak(amplitudeToDb(maxPeakR), nowMs, false);
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recomputeFastSnapshot();
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updateMomentaryShortTermLoudness();
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snapshot_.integratedLUFS = static_cast<float>(computeGatedIntegratedLoudness());
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}
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LUFSMeterSnapshot LUFSMeterAnalyzer::getSnapshot() {
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advancePeaks(currentTimeMs());
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recomputeFastSnapshot();
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return snapshot_;
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}
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void LUFSMeterAnalyzer::processLoudnessSample(float left, float right) {
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if (ringBufferL_.empty()) {
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return;
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}
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const double kwL = applyBiquad(rlbCoeffs_, rlbFilterL_, applyBiquad(preCoeffs_, preFilterL_, left));
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const double kwR = applyBiquad(rlbCoeffs_, rlbFilterR_, applyBiquad(preCoeffs_, preFilterR_, right));
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ringBufferL_[ringBufferPos_] = kwL * kwL;
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ringBufferR_[ringBufferPos_] = kwR * kwR;
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ringBufferPos_ = (ringBufferPos_ + 1) % ringBufferL_.size();
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if (ringBufferFilled_ < ringBufferL_.size()) {
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ringBufferFilled_ += 1;
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}
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integratedHopCounter_ += 1;
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const size_t hopSamples = std::max<size_t>(
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1,
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static_cast<size_t>(std::round(static_cast<double>(sampleRate_) * INTEGRATED_HOP_S))
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);
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const size_t blockSamples = std::max<size_t>(
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1,
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static_cast<size_t>(std::round(static_cast<double>(sampleRate_) * INTEGRATED_BLOCK_S))
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);
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if (integratedHopCounter_ < hopSamples || ringBufferFilled_ < blockSamples) {
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return;
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}
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double sumL = 0.0;
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double sumR = 0.0;
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const size_t bufferLength = ringBufferL_.size();
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for (size_t index = 0; index < blockSamples; index += 1) {
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const size_t bufferIndex = (ringBufferPos_ + bufferLength - 1 - index) % bufferLength;
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sumL += ringBufferL_[bufferIndex];
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sumR += ringBufferR_[bufferIndex];
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}
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const double blockPower = std::max((sumL / blockSamples) + (sumR / blockSamples), 1e-10);
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const double blockLUFS = -0.691 + 10.0 * std::log10(blockPower);
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if (blockLUFS > ABSOLUTE_GATE_LUFS) {
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const size_t histogramIndex = histogramIndexFromLufs(blockLUFS);
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integratedHistogramCounts_[histogramIndex] += 1;
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integratedHistogramPowerSums_[histogramIndex] += blockPower;
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}
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integratedHopCounter_ = 0;
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}
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void LUFSMeterAnalyzer::updateMomentaryShortTermLoudness() {
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if (ringBufferL_.empty() || ringBufferFilled_ == 0) {
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snapshot_.momentaryLUFS = static_cast<float>(METER_MIN_LUFS);
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snapshot_.shortTermLUFS = static_cast<float>(METER_MIN_LUFS);
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return;
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}
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const size_t bufferLength = ringBufferL_.size();
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const auto computeWindow = [&](double seconds) -> double {
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const size_t samples = std::min(
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static_cast<size_t>(std::round(static_cast<double>(sampleRate_) * seconds)),
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ringBufferFilled_
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);
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if (samples == 0) {
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return METER_MIN_LUFS;
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}
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double sumL = 0.0;
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double sumR = 0.0;
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for (size_t index = 0; index < samples; index += 1) {
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const size_t bufferIndex = (ringBufferPos_ + bufferLength - 1 - index) % bufferLength;
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sumL += ringBufferL_[bufferIndex];
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sumR += ringBufferR_[bufferIndex];
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}
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const double power = std::max((sumL / samples) + (sumR / samples), 1e-10);
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return std::max(METER_MIN_LUFS, -0.691 + 10.0 * std::log10(power));
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};
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snapshot_.momentaryLUFS = static_cast<float>(computeWindow(MOMENTARY_WINDOW_S));
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snapshot_.shortTermLUFS = static_cast<float>(computeWindow(SHORT_TERM_WINDOW_S));
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}
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double LUFSMeterAnalyzer::computeGatedIntegratedLoudness() const {
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uint64_t absoluteCount = 0;
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double absolutePowerSum = 0.0;
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for (size_t index = 0; index < integratedHistogramCounts_.size(); index += 1) {
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const uint32_t count = integratedHistogramCounts_[index];
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if (count == 0) {
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continue;
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}
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absoluteCount += count;
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absolutePowerSum += integratedHistogramPowerSums_[index];
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}
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if (absoluteCount == 0 || absolutePowerSum <= 0.0) {
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return METER_MIN_LUFS;
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}
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const double ungatedMean = -0.691 + 10.0 * std::log10(absolutePowerSum / absoluteCount);
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const double relativeThreshold = ungatedMean + RELATIVE_GATE_OFFSET;
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uint64_t relativeCount = 0;
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double relativePowerSum = 0.0;
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for (size_t index = 0; index < integratedHistogramCounts_.size(); index += 1) {
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const uint32_t count = integratedHistogramCounts_[index];
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if (count == 0 || histogramLufsAtIndex(index) <= relativeThreshold) {
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continue;
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}
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relativeCount += count;
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relativePowerSum += integratedHistogramPowerSums_[index];
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}
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if (relativeCount == 0 || relativePowerSum <= 0.0) {
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return METER_MIN_LUFS;
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}
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return std::max(METER_MIN_LUFS, -0.691 + 10.0 * std::log10(relativePowerSum / relativeCount));
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}
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size_t LUFSMeterAnalyzer::histogramIndexFromLufs(double lufs) const {
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const double normalized = (lufs - INTEGRATED_HISTOGRAM_MIN_LUFS) / INTEGRATED_HISTOGRAM_BIN_WIDTH;
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const long rounded = static_cast<long>(std::llround(normalized));
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return static_cast<size_t>(std::clamp<long>(
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rounded,
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0,
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static_cast<long>(integratedHistogramCounts_.size() - 1)
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));
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}
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double LUFSMeterAnalyzer::histogramLufsAtIndex(size_t index) const {
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return INTEGRATED_HISTOGRAM_MIN_LUFS + (static_cast<double>(index) * INTEGRATED_HISTOGRAM_BIN_WIDTH);
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}
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double LUFSMeterAnalyzer::applyBiquad(const BiquadCoeffs& coeffs, BiquadState& state, double input) {
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const double output = coeffs.b0 * input + coeffs.b1 * state.x1 + coeffs.b2 * state.x2
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- coeffs.a1 * state.y1 - coeffs.a2 * state.y2;
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state.x2 = state.x1;
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state.x1 = input;
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state.y2 = state.y1;
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state.y1 = output;
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return output;
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}
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void LUFSMeterAnalyzer::processFastMeterSample(float left, float right, double& maxPeakL, double& maxPeakR) {
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if (fastSqL_.empty()) {
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return;
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}
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const double sqL = static_cast<double>(left) * left;
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const double sqR = static_cast<double>(right) * right;
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const double cross = static_cast<double>(left) * right;
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if (fastSampleCount_ == integrationWindowSamples_) {
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fastSumSqL_ = std::max(0.0, fastSumSqL_ - fastSqL_[fastWriteIndex_]);
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fastSumSqR_ = std::max(0.0, fastSumSqR_ - fastSqR_[fastWriteIndex_]);
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fastSumCross_ -= fastCross_[fastWriteIndex_];
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} else {
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fastSampleCount_ += 1;
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}
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fastSqL_[fastWriteIndex_] = sqL;
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fastSqR_[fastWriteIndex_] = sqR;
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fastCross_[fastWriteIndex_] = cross;
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fastSumSqL_ += sqL;
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fastSumSqR_ += sqR;
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fastSumCross_ += cross;
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fastWriteIndex_ = (fastWriteIndex_ + 1) % integrationWindowSamples_;
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const double absL = std::abs(static_cast<double>(left));
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const double absR = std::abs(static_cast<double>(right));
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const double coeffL = absL > barEnvelopeL_ ? barAttackCoeff_ : barReleaseCoeff_;
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const double coeffR = absR > barEnvelopeR_ ? barAttackCoeff_ : barReleaseCoeff_;
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barEnvelopeL_ = coeffL * barEnvelopeL_ + (1.0 - coeffL) * absL;
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barEnvelopeR_ = coeffR * barEnvelopeR_ + (1.0 - coeffR) * absR;
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if (absL > maxPeakL) {
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maxPeakL = absL;
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}
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if (absR > maxPeakR) {
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maxPeakR = absR;
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}
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}
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void LUFSMeterAnalyzer::advancePeaks(double nowMs) {
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if (!std::isfinite(nowMs)) {
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return;
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}
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if (!hasLastPeakUpdate_) {
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lastPeakUpdateMs_ = nowMs;
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hasLastPeakUpdate_ = true;
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return;
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}
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if (nowMs <= lastPeakUpdateMs_) {
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return;
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}
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snapshot_.peakLDb = static_cast<float>(applyPeakDecay(snapshot_.peakLDb, peakHoldUntilL_, nowMs));
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snapshot_.peakRDb = static_cast<float>(applyPeakDecay(snapshot_.peakRDb, peakHoldUntilR_, nowMs));
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lastPeakUpdateMs_ = nowMs;
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}
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void LUFSMeterAnalyzer::maybeUpdatePeak(double peakDb, double nowMs, bool leftChannel) {
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if (leftChannel) {
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if (peakDb > snapshot_.peakLDb) {
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snapshot_.peakLDb = static_cast<float>(peakDb);
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peakHoldUntilL_ = nowMs + VU_PEAK_HOLD_MS;
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}
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return;
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}
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if (peakDb > snapshot_.peakRDb) {
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snapshot_.peakRDb = static_cast<float>(peakDb);
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peakHoldUntilR_ = nowMs + VU_PEAK_HOLD_MS;
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}
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}
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double LUFSMeterAnalyzer::applyPeakDecay(double currentDb, double holdUntilMs, double nowMs) const {
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const double decayStartMs = std::max(lastPeakUpdateMs_, holdUntilMs);
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if (nowMs <= decayStartMs) {
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return currentDb;
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}
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const double decayAmount = ((nowMs - decayStartMs) / 1000.0) * VU_PEAK_DECAY_DB_PER_SECOND;
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return std::max(VU_METER_MIN_DB, currentDb - decayAmount);
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}
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void LUFSMeterAnalyzer::recomputeFastSnapshot() {
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if (fastSampleCount_ == 0) {
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snapshot_.vuLDb = static_cast<float>(VU_METER_MIN_DB);
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snapshot_.vuRDb = static_cast<float>(VU_METER_MIN_DB);
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snapshot_.barLDb = static_cast<float>(amplitudeToDb(barEnvelopeL_));
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snapshot_.barRDb = static_cast<float>(amplitudeToDb(barEnvelopeR_));
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snapshot_.correlation = 0.0f;
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return;
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}
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const double meanSqL = std::max(0.0, fastSumSqL_) / fastSampleCount_;
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const double meanSqR = std::max(0.0, fastSumSqR_) / fastSampleCount_;
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const double denominator = std::sqrt(std::max(0.0, fastSumSqL_) * std::max(0.0, fastSumSqR_));
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snapshot_.vuLDb = static_cast<float>(amplitudeToDb(std::sqrt(meanSqL)));
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snapshot_.vuRDb = static_cast<float>(amplitudeToDb(std::sqrt(meanSqR)));
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snapshot_.barLDb = static_cast<float>(amplitudeToDb(barEnvelopeL_));
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snapshot_.barRDb = static_cast<float>(amplitudeToDb(barEnvelopeR_));
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snapshot_.correlation = denominator > 1e-10
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? static_cast<float>(std::clamp(fastSumCross_ / denominator, -1.0, 1.0))
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: 0.0f;
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}
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double LUFSMeterAnalyzer::currentTimeMs() {
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using Clock = std::chrono::steady_clock;
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const auto now = Clock::now().time_since_epoch();
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return std::chrono::duration<double, std::milli>(now).count();
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}
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double LUFSMeterAnalyzer::amplitudeToDb(double amplitude) {
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if (!std::isfinite(amplitude) || amplitude <= 0.0) {
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return VU_METER_MIN_DB;
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}
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return clampDb(20.0 * std::log10(std::max(amplitude, 1e-10)), VU_METER_MIN_DB, VU_METER_MAX_DB);
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}
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double LUFSMeterAnalyzer::clampDb(double db, double minDb, double maxDb) {
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return std::max(minDb, std::min(maxDb, db));
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}
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LUFSMeterAnalyzer::BiquadCoeffs LUFSMeterAnalyzer::preFilterCoeffs(double sampleRate) {
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const double K = std::tan(PI * PRE_FILTER_F0_HZ / sampleRate);
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const double Vh = std::pow(10.0, PRE_FILTER_GAIN_DB / 20.0);
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const double Vb = std::pow(Vh, 0.499666774155997);
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const double KK = K * K;
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const double a0 = 1.0 + K / PRE_FILTER_Q + KK;
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return {
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(Vh + (Vb * K) / PRE_FILTER_Q + KK) / a0,
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(2.0 * (KK - Vh)) / a0,
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(Vh - (Vb * K) / PRE_FILTER_Q + KK) / a0,
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(2.0 * (KK - 1.0)) / a0,
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(1.0 - K / PRE_FILTER_Q + KK) / a0,
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};
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}
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LUFSMeterAnalyzer::BiquadCoeffs LUFSMeterAnalyzer::rlbFilterCoeffs(double sampleRate) {
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const double K = std::tan(PI * RLB_FILTER_F0_HZ / sampleRate);
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const double KK = K * K;
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const double a0 = 1.0 + K / RLB_FILTER_Q + KK;
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return {
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1.0,
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-2.0,
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1.0,
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(2.0 * (KK - 1.0)) / a0,
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(1.0 - K / RLB_FILTER_Q + KK) / a0,
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};
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}
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} // namespace Visualizer
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