complete overhaul of spectrogram

This commit is contained in:
Boof2015
2026-05-19 13:13:24 -04:00
parent c8a33ba647
commit e4c82c0a64
14 changed files with 1079 additions and 541 deletions
+88
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@@ -1,15 +1,18 @@
#include <napi.h>
#include <cstring>
#include <string>
#include "linux_capture.h"
#include "macos_capture.h"
#include "windows_capture.h"
#include "oscilloscope.h"
#include "spectrum.h"
#include "spectrogram.h"
#include "vectorscope.h"
// Global instances
static Visualizer::Oscilloscope oscilloscope;
static Visualizer::Spectrum spectrum(2048);
static Visualizer::SpectrogramAnalyzer spectrogramAnalyzer;
static Visualizer::Vectorscope vectorscope;
// ============== Oscilloscope ==============
@@ -239,6 +242,84 @@ Napi::Value SpectrumReset(const Napi::CallbackInfo& info) {
return info.Env().Undefined();
}
// ============== Spectrogram ==============
namespace {
float GetObjectFloat(const Napi::Object& obj, const char* key, float fallback) {
Napi::Value value = obj.Get(key);
return value.IsNumber() ? value.As<Napi::Number>().FloatValue() : fallback;
}
size_t GetObjectSize(const Napi::Object& obj, const char* key, size_t fallback) {
Napi::Value value = obj.Get(key);
return value.IsNumber() ? static_cast<size_t>(value.As<Napi::Number>().Uint32Value()) : fallback;
}
std::string GetObjectString(const Napi::Object& obj, const char* key, const std::string& fallback) {
Napi::Value value = obj.Get(key);
return value.IsString() ? value.As<Napi::String>().Utf8Value() : fallback;
}
} // namespace
Napi::Value SpectrogramConfigure(const Napi::CallbackInfo& info) {
Napi::Env env = info.Env();
if (info.Length() < 1 || !info[0].IsObject()) {
Napi::TypeError::New(env, "Expected spectrogram options object").ThrowAsJavaScriptException();
return env.Null();
}
Napi::Object options = info[0].As<Napi::Object>();
Visualizer::SpectrogramConfig config;
config.fftSize = GetObjectSize(options, "fftSize", config.fftSize);
config.sampleRate = GetObjectFloat(options, "sampleRate", config.sampleRate);
config.rowCount = GetObjectSize(options, "rowCount", config.rowCount);
config.minFrequency = GetObjectFloat(options, "minFrequency", config.minFrequency);
config.maxFrequency = GetObjectFloat(options, "maxFrequency", config.maxFrequency);
config.minDecibels = GetObjectFloat(options, "minDecibels", config.minDecibels);
config.maxDecibels = GetObjectFloat(options, "maxDecibels", config.maxDecibels);
config.scrollSpeed = GetObjectFloat(options, "scrollSpeed", config.scrollSpeed);
config.contrast = GetObjectFloat(options, "contrast", config.contrast);
config.tiltDbPerOctave = GetObjectFloat(options, "tiltDbPerOctave", config.tiltDbPerOctave);
config.clarityMode = GetObjectString(options, "clarityMode", config.clarityMode);
config.scaleMode = GetObjectString(options, "scaleMode", config.scaleMode);
config.orientation = GetObjectString(options, "orientation", config.orientation);
spectrogramAnalyzer.configure(config);
return env.Undefined();
}
Napi::Value SpectrogramProcess(const Napi::CallbackInfo& info) {
Napi::Env env = info.Env();
if (info.Length() < 1 || !info[0].IsTypedArray()) {
Napi::TypeError::New(env, "Expected Float32Array").ThrowAsJavaScriptException();
return env.Null();
}
Napi::Float32Array audioData = info[0].As<Napi::Float32Array>();
auto result = spectrogramAnalyzer.process(audioData.Data(), audioData.ElementLength());
Napi::Float32Array display = Napi::Float32Array::New(env, result.display.size());
Napi::Float32Array heat = Napi::Float32Array::New(env, result.heat.size());
if (!result.display.empty()) {
memcpy(display.Data(), result.display.data(), result.display.size() * sizeof(float));
}
if (!result.heat.empty()) {
memcpy(heat.Data(), result.heat.data(), result.heat.size() * sizeof(float));
}
Napi::Object obj = Napi::Object::New(env);
obj.Set("display", display);
obj.Set("heat", heat);
obj.Set("columnCount", Napi::Number::New(env, static_cast<double>(result.columnCount)));
obj.Set("rowCount", Napi::Number::New(env, static_cast<double>(result.rowCount)));
return obj;
}
Napi::Value SpectrogramReset(const Napi::CallbackInfo& info) {
spectrogramAnalyzer.reset();
return info.Env().Undefined();
}
// ============== Vectorscope ==============
Napi::Value VectorscopeSetSampleRate(const Napi::CallbackInfo& info) {
@@ -378,6 +459,13 @@ Napi::Object Init(Napi::Env env, Napi::Object exports) {
specExports.Set("reset", Napi::Function::New(env, SpectrumReset));
exports.Set("spectrum", specExports);
// Spectrogram
Napi::Object spectrogramExports = Napi::Object::New(env);
spectrogramExports.Set("configure", Napi::Function::New(env, SpectrogramConfigure));
spectrogramExports.Set("process", Napi::Function::New(env, SpectrogramProcess));
spectrogramExports.Set("reset", Napi::Function::New(env, SpectrogramReset));
exports.Set("spectrogram", spectrogramExports);
// Vectorscope
Napi::Object vecExports = Napi::Object::New(env);
vecExports.Set("setSampleRate", Napi::Function::New(env, VectorscopeSetSampleRate));
+488
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@@ -0,0 +1,488 @@
#define _USE_MATH_DEFINES
#include "spectrogram.h"
#include <algorithm>
#include <cmath>
#include <cstring>
#include <limits>
namespace Visualizer {
namespace {
constexpr size_t FFT_PAD_FACTOR = 4;
constexpr float DISPLAY_GAIN_DB = 2.0f;
constexpr float HEAT_GAIN_COMPENSATION_DB = 6.0f;
constexpr float TILT_REFERENCE_HZ = 1000.0f;
constexpr float HEAT_MIN_DB = -100.0f;
constexpr float HEAT_MAX_DB = -20.0f;
constexpr float SLANEY_F_SP = 200.0f / 3.0f;
constexpr float SLANEY_MIN_LOG_HZ = 1000.0f;
constexpr float SLANEY_MIN_LOG_MEL = SLANEY_MIN_LOG_HZ / SLANEY_F_SP;
constexpr float SLANEY_LOG_STEP = 1.8562979903656263f / 27.0f; // log(6.4) / 27
bool isPowerOfTwo(size_t value) {
return value >= 2 && (value & (value - 1)) == 0;
}
float clamp01(float value) {
return std::max(0.0f, std::min(1.0f, value));
}
float normalizeHeatDb(float db) {
if (!std::isfinite(db)) {
return 0.0f;
}
return clamp01((db - HEAT_MIN_DB) / (HEAT_MAX_DB - HEAT_MIN_DB));
}
float hzToMelSlaney(float frequencyHz) {
if (frequencyHz < SLANEY_MIN_LOG_HZ) {
return frequencyHz / SLANEY_F_SP;
}
return SLANEY_MIN_LOG_MEL + (std::log(frequencyHz / SLANEY_MIN_LOG_HZ) / SLANEY_LOG_STEP);
}
float melToHzSlaney(float mel) {
if (mel < SLANEY_MIN_LOG_MEL) {
return mel * SLANEY_F_SP;
}
return SLANEY_MIN_LOG_HZ * std::exp(SLANEY_LOG_STEP * (mel - SLANEY_MIN_LOG_MEL));
}
float wrapPhase(float value) {
const float twoPi = static_cast<float>(2.0 * M_PI);
float wrapped = std::remainder(value, twoPi);
if (!std::isfinite(wrapped)) {
return 0.0f;
}
return wrapped;
}
} // namespace
SpectrogramAnalyzer::SpectrogramAnalyzer()
: fftSize_(0)
, paddedSize_(0)
, frameFill_(0)
, haveLastPhase_(false) {
configureFft(config_.fftSize);
rebuildFrequencyMapping();
}
void SpectrogramAnalyzer::configure(const SpectrogramConfig& config) {
SpectrogramConfig next = config;
if (!isPowerOfTwo(next.fftSize)) {
next.fftSize = 4096;
}
next.fftSize = std::clamp(next.fftSize, static_cast<size_t>(128), static_cast<size_t>(16384));
next.sampleRate = std::isfinite(next.sampleRate) && next.sampleRate > 0.0f ? next.sampleRate : 48000.0f;
next.rowCount = std::clamp(next.rowCount, static_cast<size_t>(1), static_cast<size_t>(8192));
next.minFrequency = std::isfinite(next.minFrequency) && next.minFrequency > 0.0f ? next.minFrequency : 20.0f;
next.maxFrequency = std::isfinite(next.maxFrequency) && next.maxFrequency > 0.0f ? next.maxFrequency : 20000.0f;
next.minDecibels = std::isfinite(next.minDecibels) ? next.minDecibels : -90.0f;
next.maxDecibels = std::isfinite(next.maxDecibels) ? next.maxDecibels : -12.0f;
if (next.maxDecibels <= next.minDecibels) {
next.maxDecibels = next.minDecibels + 1.0f;
}
next.scrollSpeed = std::isfinite(next.scrollSpeed) ? next.scrollSpeed : 2.0f;
next.contrast = std::isfinite(next.contrast) ? next.contrast : 1.0f;
next.contrast = std::clamp(next.contrast, 0.1f, 8.0f);
next.tiltDbPerOctave = std::isfinite(next.tiltDbPerOctave) ? next.tiltDbPerOctave : 4.0f;
next.tiltDbPerOctave = std::clamp(next.tiltDbPerOctave, -12.0f, 12.0f);
if (next.scaleMode != "linear" && next.scaleMode != "mel" && next.scaleMode != "log") {
next.scaleMode = "log";
}
if (next.orientation != "vertical") {
next.orientation = "horizontal";
}
if (next.clarityMode != "classic" && next.clarityMode != "sharp" && next.clarityMode != "sharper") {
next.clarityMode = "sharper";
}
const bool fftChanged = next.fftSize != fftSize_;
const bool sampleRateChanged = next.sampleRate != config_.sampleRate;
const bool mappingChanged = fftChanged
|| sampleRateChanged
|| next.rowCount != config_.rowCount
|| next.minFrequency != config_.minFrequency
|| next.maxFrequency != config_.maxFrequency
|| next.scaleMode != config_.scaleMode
|| next.orientation != config_.orientation;
config_ = next;
if (fftChanged) {
configureFft(config_.fftSize);
} else if (sampleRateChanged) {
haveLastPhase_ = false;
}
if (mappingChanged) {
rebuildFrequencyMapping();
}
}
void SpectrogramAnalyzer::configureFft(size_t fftSize) {
fftSize_ = fftSize;
paddedSize_ = fftSize_ * FFT_PAD_FACTOR;
fft_ = std::make_unique<DSP::FFT>(paddedSize_);
frameBuffer_.assign(fftSize_, 0.0f);
window_.assign(fftSize_, 1.0f);
windowedInput_.assign(paddedSize_, 0.0f);
fftOutput_.assign(paddedSize_, std::complex<float>(0.0f, 0.0f));
magnitudesDb_.assign(paddedSize_ / 2, -200.0f);
magnitudesLinear_.assign(paddedSize_ / 2, 0.0f);
phases_.assign(paddedSize_ / 2, 0.0f);
lastPhases_.assign(paddedSize_ / 2, 0.0f);
frameFill_ = 0;
haveLastPhase_ = false;
if (fftSize_ <= 1) {
return;
}
for (size_t index = 0; index < fftSize_; index += 1) {
window_[index] = 0.5f * (1.0f - std::cos((2.0f * static_cast<float>(M_PI) * index) / (fftSize_ - 1)));
}
}
void SpectrogramAnalyzer::reset() {
std::fill(frameBuffer_.begin(), frameBuffer_.end(), 0.0f);
std::fill(lastPhases_.begin(), lastPhases_.end(), 0.0f);
frameFill_ = 0;
haveLastPhase_ = false;
}
size_t SpectrogramAnalyzer::resolveHopSize() const {
const float baseHopDivisor = 8.0f;
const float speed = std::isfinite(config_.scrollSpeed) ? config_.scrollSpeed : 2.0f;
const int divisor = std::clamp(static_cast<int>(std::lround(baseHopDivisor * speed)), 2, 64);
return std::max(static_cast<size_t>(1), fftSize_ / static_cast<size_t>(divisor));
}
void SpectrogramAnalyzer::rebuildFrequencyMapping() {
const size_t rowCount = std::max(static_cast<size_t>(1), config_.rowCount);
const float sampleRate = std::max(1.0f, config_.sampleRate);
const float nyquist = sampleRate * 0.5f;
const float minFrequency = std::max(1.0f, std::min(config_.minFrequency, nyquist));
const float maxFrequency = std::max(minFrequency + 1.0f, std::min(config_.maxFrequency, nyquist));
config_.minFrequency = minFrequency;
config_.maxFrequency = maxFrequency;
rowCenterBins_.assign(rowCount, 0.0f);
rowBandStartBins_.assign(rowCount, 0.0f);
rowBandEndBins_.assign(rowCount, 0.0f);
rowCenterFrequencies_.assign(rowCount, minFrequency);
standardRaw_.assign(rowCount, 0.0f);
standardHeat_.assign(rowCount, 0.0f);
reassignedPower_.assign(rowCount, 0.0f);
blendedRaw_.assign(rowCount, 0.0f);
blendedHeat_.assign(rowCount, 0.0f);
const float rowSpan = static_cast<float>(std::max(static_cast<size_t>(1), rowCount - 1));
const float numBins = static_cast<float>(std::max(static_cast<size_t>(1), paddedSize_ / 2));
const float binWidth = nyquist / numBins;
for (size_t row = 0; row < rowCount; row += 1) {
const float rowF = static_cast<float>(row);
const float normalizedPosition = config_.orientation == "vertical"
? rowF / rowSpan
: 1.0f - (rowF / rowSpan);
float upperEdgeNormalized;
float lowerEdgeNormalized;
if (config_.orientation == "vertical") {
upperEdgeNormalized = row == rowCount - 1 ? 1.0f : (rowF + 0.5f) / rowSpan;
lowerEdgeNormalized = row == 0 ? 0.0f : (rowF - 0.5f) / rowSpan;
} else {
upperEdgeNormalized = row == 0 ? 1.0f : 1.0f - ((rowF - 0.5f) / rowSpan);
lowerEdgeNormalized = row == rowCount - 1 ? 0.0f : 1.0f - ((rowF + 0.5f) / rowSpan);
}
const float centerFrequency = frequencyFromScale(normalizedPosition);
const float lowerFrequency = frequencyFromScale(clamp01(lowerEdgeNormalized));
const float upperFrequency = frequencyFromScale(clamp01(upperEdgeNormalized));
rowCenterFrequencies_[row] = centerFrequency;
rowCenterBins_[row] = std::clamp(centerFrequency / binWidth, 0.0f, numBins - 1.0f);
rowBandStartBins_[row] = std::clamp(std::min(lowerFrequency, upperFrequency) / binWidth, 0.0f, numBins);
rowBandEndBins_[row] = std::clamp(std::max(lowerFrequency, upperFrequency) / binWidth, 0.0f, numBins);
}
}
float SpectrogramAnalyzer::frequencyFromScale(float normalizedPosition) const {
const float t = clamp01(normalizedPosition);
const float minFrequency = std::max(1.0f, config_.minFrequency);
const float maxFrequency = std::max(minFrequency + 1.0f, config_.maxFrequency);
if (config_.scaleMode == "linear") {
return minFrequency + (t * (maxFrequency - minFrequency));
}
if (config_.scaleMode == "mel") {
const float melMin = hzToMelSlaney(minFrequency);
const float melMax = hzToMelSlaney(maxFrequency);
return melToHzSlaney(melMin + (t * (melMax - melMin)));
}
const float logMin = std::log10(minFrequency);
const float logMax = std::log10(maxFrequency);
return std::pow(10.0f, logMin + (t * (logMax - logMin)));
}
float SpectrogramAnalyzer::frequencyToRow(float frequency) const {
const float minFrequency = std::max(1.0f, config_.minFrequency);
const float maxFrequency = std::max(minFrequency + 1.0f, config_.maxFrequency);
const float clampedFrequency = std::clamp(frequency, minFrequency, maxFrequency);
float normalized = 0.0f;
if (config_.scaleMode == "linear") {
normalized = (clampedFrequency - minFrequency) / std::max(maxFrequency - minFrequency, std::numeric_limits<float>::epsilon());
} else if (config_.scaleMode == "mel") {
const float melMin = hzToMelSlaney(minFrequency);
const float melMax = hzToMelSlaney(maxFrequency);
normalized = (hzToMelSlaney(clampedFrequency) - melMin) / std::max(melMax - melMin, std::numeric_limits<float>::epsilon());
} else {
const float logMin = std::log10(minFrequency);
const float logMax = std::log10(maxFrequency);
normalized = (std::log10(clampedFrequency) - logMin) / std::max(logMax - logMin, std::numeric_limits<float>::epsilon());
}
const float rowSpan = static_cast<float>(std::max(static_cast<size_t>(1), config_.rowCount - 1));
return config_.orientation == "vertical"
? clamp01(normalized) * rowSpan
: (1.0f - clamp01(normalized)) * rowSpan;
}
float SpectrogramAnalyzer::applyDisplayTilt(float db, float frequency) const {
const float safeFrequency = std::max(1.0f, frequency);
const float tiltAmount = config_.tiltDbPerOctave * std::log2(safeFrequency / TILT_REFERENCE_HZ);
return db + tiltAmount + DISPLAY_GAIN_DB;
}
float SpectrogramAnalyzer::displayDbToIntensity(float db) const {
const float range = std::max(1.0e-6f, config_.maxDecibels - config_.minDecibels);
return clamp01((db - config_.minDecibels) / range);
}
float SpectrogramAnalyzer::sampleDbAtBin(float bin) const {
if (magnitudesDb_.empty()) {
return -200.0f;
}
const float clampedBin = std::clamp(bin, 0.0f, static_cast<float>(magnitudesDb_.size() - 1));
const size_t i1 = static_cast<size_t>(std::floor(clampedBin));
const float frac = clampedBin - static_cast<float>(i1);
const size_t i0 = i1 > 0 ? i1 - 1 : i1;
const size_t i2 = std::min(magnitudesDb_.size() - 1, i1 + 1);
const size_t i3 = std::min(magnitudesDb_.size() - 1, i1 + 2);
const float m0 = magnitudesDb_[i0];
const float m1 = magnitudesDb_[i1];
const float m2 = magnitudesDb_[i2];
const float m3 = magnitudesDb_[i3];
const float f2 = frac * frac;
const float f3 = f2 * frac;
return 0.5f * (
(2.0f * m1)
+ ((-m0 + m2) * frac)
+ ((2.0f * m0 - 5.0f * m1 + 4.0f * m2 - m3) * f2)
+ ((-m0 + 3.0f * m1 - 3.0f * m2 + m3) * f3)
);
}
void SpectrogramAnalyzer::computeStandardSpectrum() {
const size_t rowCount = config_.rowCount;
for (size_t row = 0; row < rowCount; row += 1) {
const float displayDb = applyDisplayTilt(sampleDbAtBin(rowCenterBins_[row]), rowCenterFrequencies_[row]);
standardRaw_[row] = displayDbToIntensity(displayDb);
standardHeat_[row] = normalizeHeatDb(displayDb + HEAT_GAIN_COMPENSATION_DB);
}
}
void SpectrogramAnalyzer::computeReassignedSpectrum() {
std::fill(reassignedPower_.begin(), reassignedPower_.end(), 0.0f);
if (!haveLastPhase_ || magnitudesLinear_.size() < 3 || config_.rowCount == 0) {
return;
}
const float sampleRate = std::max(1.0f, config_.sampleRate);
const float binWidth = sampleRate / static_cast<float>(paddedSize_);
const float hopDt = static_cast<float>(resolveHopSize()) / sampleRate;
const float ampThreshold = std::pow(10.0f, config_.minDecibels / 20.0f);
const float twoPi = static_cast<float>(2.0 * M_PI);
for (size_t bin = 1; bin + 1 < magnitudesLinear_.size(); bin += 1) {
const float mag = magnitudesLinear_[bin];
if (mag <= ampThreshold) {
continue;
}
if (mag < magnitudesLinear_[bin - 1] || mag < magnitudesLinear_[bin + 1]) {
continue;
}
const float nominalFrequency = static_cast<float>(bin) * binWidth;
if (nominalFrequency < config_.minFrequency || nominalFrequency > config_.maxFrequency) {
continue;
}
const float expected = twoPi * nominalFrequency * hopDt;
float correctionHz = wrapPhase(phases_[bin] - lastPhases_[bin] - expected) / (twoPi * hopDt);
correctionHz = std::clamp(correctionHz, -1.5f * binWidth, 1.5f * binWidth);
float reassignedFrequency = nominalFrequency + correctionHz;
const float leftWeight = magnitudesLinear_[bin - 1];
const float centerWeight = mag;
const float rightWeight = magnitudesLinear_[bin + 1];
const float weightSum = leftWeight + centerWeight + rightWeight;
if (weightSum > std::numeric_limits<float>::epsilon()) {
const float centroidFrequency = (
(static_cast<float>(bin - 1) * binWidth * leftWeight)
+ (nominalFrequency * centerWeight)
+ (static_cast<float>(bin + 1) * binWidth * rightWeight)
) / weightSum;
reassignedFrequency = 0.5f * reassignedFrequency + 0.5f * centroidFrequency;
}
reassignedFrequency = std::clamp(reassignedFrequency, config_.minFrequency, config_.maxFrequency);
const float rowF = frequencyToRow(reassignedFrequency);
const size_t row0 = static_cast<size_t>(std::floor(std::clamp(rowF, 0.0f, static_cast<float>(config_.rowCount - 1))));
const float frac = rowF - static_cast<float>(row0);
const float power = mag * mag;
reassignedPower_[row0] += power * (1.0f - frac);
if (row0 + 1 < config_.rowCount) {
reassignedPower_[row0 + 1] += power * frac;
}
}
}
SpectrogramAnalyzer::ClarityProfile SpectrogramAnalyzer::clarityProfile(const std::string& mode) {
if (mode == "classic") {
return {1.4f, 0.0f, 3.0f};
}
if (mode == "sharp") {
return {1.5f, 2.5f, 3.0f};
}
return {2.0f, 5.0f, 2.0f};
}
void SpectrogramAnalyzer::blendAndShapeColumn(std::vector<float>& display, std::vector<float>& heat) {
const size_t rowCount = config_.rowCount;
const ClarityProfile clarity = clarityProfile(config_.clarityMode);
const float standardWeight = config_.clarityMode == "classic" ? 0.8f : (config_.clarityMode == "sharp" ? 0.6f : 0.45f);
const float reassignedWeight = config_.clarityMode == "classic" ? 0.85f : 1.0f;
for (size_t row = 0; row < rowCount; row += 1) {
float reassignedRaw = 0.0f;
float reassignedHeat = 0.0f;
if (reassignedPower_[row] > 0.0f) {
const float reassignedMag = std::sqrt(reassignedPower_[row]);
const float reassignedDb = 20.0f * std::log10(std::max(reassignedMag, 1.0e-10f));
const float displayDb = applyDisplayTilt(reassignedDb, rowCenterFrequencies_[row]);
reassignedRaw = displayDbToIntensity(displayDb);
reassignedHeat = normalizeHeatDb(displayDb + HEAT_GAIN_COMPENSATION_DB);
}
blendedRaw_[row] = std::max(standardRaw_[row] * standardWeight, reassignedRaw * reassignedWeight);
blendedHeat_[row] = std::max(standardHeat_[row] * standardWeight, reassignedHeat * reassignedWeight);
}
if (clarity.sharpness > 0.0f) {
const std::vector<float> peakSource = blendedRaw_;
const float mainlobePaddedBins = 4.0f * static_cast<float>(FFT_PAD_FACTOR);
const float detailPreserve = config_.clarityMode == "sharp" ? 0.18f : 0.14f;
for (size_t row = 0; row < rowCount; row += 1) {
const float bandWidthPerRow = std::max(0.1f, rowBandEndBins_[row] - rowBandStartBins_[row]);
const float mainlobePixels = mainlobePaddedBins / bandWidthPerRow;
const int halfWindow = std::max(2, std::min(50, static_cast<int>(std::lround(mainlobePixels * 0.5f))));
const float scaleFactor = std::max(1.0f, mainlobePixels / clarity.lineWidth);
const float effectiveSharpness = clarity.sharpness * scaleFactor;
float localMax = peakSource[row];
for (int offset = 1; offset <= halfWindow; offset += 1) {
if (row >= static_cast<size_t>(offset)) {
localMax = std::max(localMax, peakSource[row - static_cast<size_t>(offset)]);
}
if (row + static_cast<size_t>(offset) < rowCount) {
localMax = std::max(localMax, peakSource[row + static_cast<size_t>(offset)]);
}
}
if (localMax > 1.0e-6f) {
const float ratio = blendedRaw_[row] / localMax;
const float suppression = std::pow(clamp01(ratio), effectiveSharpness);
const float rawBefore = blendedRaw_[row];
const float heatBefore = blendedHeat_[row];
blendedRaw_[row] = std::max(rawBefore * suppression, rawBefore * detailPreserve);
blendedHeat_[row] = std::max(heatBefore * suppression, heatBefore * detailPreserve);
}
}
}
const float effectiveGamma = clarity.gamma * config_.contrast;
const size_t offset = display.size();
display.resize(offset + rowCount);
heat.resize(offset + rowCount);
for (size_t row = 0; row < rowCount; row += 1) {
display[offset + row] = std::pow(clamp01(blendedRaw_[row]), effectiveGamma);
heat[offset + row] = clamp01(blendedHeat_[row]);
}
}
void SpectrogramAnalyzer::processFrame(std::vector<float>& display, std::vector<float>& heat) {
std::fill(windowedInput_.begin(), windowedInput_.end(), 0.0f);
for (size_t index = 0; index < fftSize_; index += 1) {
windowedInput_[index] = frameBuffer_[index] * window_[index];
}
fft_->forward(windowedInput_.data(), fftOutput_.data());
const size_t numBins = paddedSize_ / 2;
const float scale = 2.0f / static_cast<float>(fftSize_);
for (size_t bin = 0; bin < numBins; bin += 1) {
const float re = fftOutput_[bin].real();
const float im = fftOutput_[bin].imag();
const float magnitude = std::sqrt((re * re) + (im * im)) * scale;
magnitudesLinear_[bin] = magnitude;
magnitudesDb_[bin] = 20.0f * std::log10(std::max(magnitude, 1.0e-10f));
phases_[bin] = std::atan2(im, re);
}
computeStandardSpectrum();
computeReassignedSpectrum();
blendAndShapeColumn(display, heat);
lastPhases_ = phases_;
haveLastPhase_ = true;
}
SpectrogramProcessResult SpectrogramAnalyzer::process(const float* samples, size_t length) {
SpectrogramProcessResult result;
result.rowCount = config_.rowCount;
if (!samples || length == 0 || fftSize_ == 0 || config_.rowCount == 0) {
return result;
}
const size_t hopSize = resolveHopSize();
const size_t overlapSamples = fftSize_ - hopSize;
for (size_t index = 0; index < length; index += 1) {
frameBuffer_[frameFill_] = samples[index];
frameFill_ += 1;
if (frameFill_ >= fftSize_) {
processFrame(result.display, result.heat);
result.columnCount += 1;
if (overlapSamples > 0) {
std::memmove(frameBuffer_.data(), frameBuffer_.data() + hopSize, overlapSamples * sizeof(float));
}
frameFill_ = overlapSamples;
}
}
return result;
}
} // namespace Visualizer
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#pragma once
#include "dsp_utils.h"
#include <complex>
#include <memory>
#include <string>
#include <vector>
namespace Visualizer {
struct SpectrogramConfig {
size_t fftSize = 4096;
float sampleRate = 48000.0f;
size_t rowCount = 1;
float minFrequency = 20.0f;
float maxFrequency = 20000.0f;
float minDecibels = -90.0f;
float maxDecibels = -12.0f;
float scrollSpeed = 2.0f;
float contrast = 1.0f;
float tiltDbPerOctave = 4.0f;
std::string clarityMode = "sharper";
std::string scaleMode = "log";
std::string orientation = "horizontal";
};
struct SpectrogramProcessResult {
std::vector<float> display;
std::vector<float> heat;
size_t columnCount = 0;
size_t rowCount = 0;
};
class SpectrogramAnalyzer {
public:
SpectrogramAnalyzer();
void configure(const SpectrogramConfig& config);
SpectrogramProcessResult process(const float* samples, size_t length);
void reset();
private:
struct ClarityProfile {
float gamma;
float sharpness;
float lineWidth;
};
SpectrogramConfig config_;
size_t fftSize_;
size_t paddedSize_;
size_t frameFill_;
bool haveLastPhase_;
std::unique_ptr<DSP::FFT> fft_;
std::vector<float> frameBuffer_;
std::vector<float> window_;
std::vector<float> windowedInput_;
std::vector<std::complex<float>> fftOutput_;
std::vector<float> magnitudesDb_;
std::vector<float> magnitudesLinear_;
std::vector<float> phases_;
std::vector<float> lastPhases_;
std::vector<float> rowCenterBins_;
std::vector<float> rowBandStartBins_;
std::vector<float> rowBandEndBins_;
std::vector<float> rowCenterFrequencies_;
std::vector<float> standardRaw_;
std::vector<float> standardHeat_;
std::vector<float> reassignedPower_;
std::vector<float> blendedRaw_;
std::vector<float> blendedHeat_;
void configureFft(size_t fftSize);
void rebuildFrequencyMapping();
void processFrame(std::vector<float>& display, std::vector<float>& heat);
void computeStandardSpectrum();
void computeReassignedSpectrum();
void blendAndShapeColumn(std::vector<float>& display, std::vector<float>& heat);
size_t resolveHopSize() const;
float sampleDbAtBin(float bin) const;
float frequencyFromScale(float normalizedPosition) const;
float frequencyToRow(float frequency) const;
float applyDisplayTilt(float db, float frequency) const;
float displayDbToIntensity(float db) const;
static ClarityProfile clarityProfile(const std::string& mode);
};
} // namespace Visualizer