feat: consumer identified (th_b3c0), scan3.py, RT_FIRCONV/RT_FIRPOWER
- th_b3c0 (0x18000b3c0) = pure complex multiply FIR × audio in freq-domain - scan3.py: pre-scan approach finds ctx in 1.5s, multi-instance detection - RT_FIRCONV=1: FIR from mask + complex multiply (spectral.cpp) - RT_FIRPOWER=1: power-law mask from raw spectrum (framed_model.cpp) - Root cause: plugin uses FIR convolution (OLA), not per-bin multiply - Live captures: FIR@43=0.524, mask@43=0.510, final gain=0.305 - Best result: RT_LUT_OFF gives cut@500=-8.18 dB (ref -10.32) - NOTES_LEVEL 24e/24f/24g appended
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+40
-12
@@ -134,9 +134,16 @@ static void process_band_structural(
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for (size_t k = 0; k < nbin; k++) if (lvl_in[k] > cap) lvl_in[k] = cap;
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}
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// Save raw level BEFORE LUT transform (for RT_FIRPOWER)
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std::vector<float> raw_level(nbin);
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for (size_t k = 0; k < nbin; k++) {
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double res_k = std::max(static_cast<double>(res[k]), 1e-12);
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double lvl = lvl_in[k];
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raw_level[k] = static_cast<float>(static_cast<double>(am[k]) / res_k * scale_factor_x);
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}
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for (size_t k = 0; k < nbin; k++) {
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double res_k = std::max(static_cast<double>(res[k]), 1e-12);
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double lvl = raw_level[k];
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if (!lut_off) {
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// dB-domain LUT (FUN_180563a60) on LEVEL before IIR/exp2: keeps both
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// quiet (t1kq) and loud (t1k) inputs inside the LUT domain [A,B],
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@@ -208,17 +215,38 @@ static void process_band_structural(
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}
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for (size_t k = 0; k < nfft; k++) {
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double mm = std::exp2(-static_cast<double>(band_level[k]));
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static const int noblend = getenv("RT_NOBLEND") ? atoi(getenv("RT_NOBLEND")) : 0;
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if (!noblend) mm *= f6f8[k];
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// RT_LAWAFFINE="A,S" (NOTES 22q): cut_dB = A + S*log2(lvl) — affine dB law
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static const char* la = getenv("RT_LAWAFFINE");
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if (la && lut_off) {
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double A_db = atof(la); const char* cm = strchr(la, ',');
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double S_db = cm ? atof(cm + 1) : 2.17;
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if (band_level[k] > 1e-6) {
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double y = (A_db + S_db * std::log2(band_level[k])) / 6.0174;
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mm = std::exp2(-y);
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double mm;
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// RT_FIRPOWER=1: FIR-style mask from raw spectrum.
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// Plugin's actual pipeline (52b550-52b8bb):
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// 1. scratch = log(raw_spectrum)
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// 2. FIR = exp(0.984 × scratch) = raw^0.984
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// 3. FIR *= hann_window (freq-domain)
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// 4. FIR *= 0x540888 (scalar)
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// 5. FIR applied via time-domain convolution (not pointwise multiply)
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//
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// For our structural chain (pointwise mask):
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// mask = raw^0.984 × hann × 0x540888
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// where hann rises from 0→1 (DC→Nyquist)
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static const int firpower = getenv("RT_FIRPOWER") ? atoi(getenv("RT_FIRPOWER")) : 0;
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if (firpower) {
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double raw = static_cast<double>(raw_level[k]);
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if (raw > 1e-12) {
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mm = std::pow(raw, 0.984);
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} else {
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mm = 1.0;
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}
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} else {
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mm = std::exp2(-static_cast<double>(band_level[k]));
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static const int noblend = getenv("RT_NOBLEND") ? atoi(getenv("RT_NOBLEND")) : 0;
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if (!noblend) mm *= f6f8[k];
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static const char* la = getenv("RT_LAWAFFINE");
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if (la && lut_off) {
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double A_db = atof(la); const char* cm = strchr(la, ',');
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double S_db = cm ? atof(cm + 1) : 2.17;
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if (band_level[k] > 1e-6) {
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double y = (A_db + S_db * std::log2(band_level[k])) / 6.0174;
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mm = std::exp2(-y);
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}
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}
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}
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mask_out[k] = static_cast<float>(mm);
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+37
-2
@@ -1,7 +1,9 @@
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#include "spectral.hpp"
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#include "fftconv.hpp"
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#include <cmath>
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#include <cstring>
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#include <vector>
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#include <cstdlib>
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SpectralProcessor::SpectralProcessor(size_t nfft, size_t hop, float sample_rate)
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: nfft_(nfft), hop_(hop), frame_count_(0), output_pos_(0),
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@@ -11,14 +13,25 @@ SpectralProcessor::SpectralProcessor(size_t nfft, size_t hop, float sample_rate)
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fft::init_plan(&plan_, static_cast<uint32_t>(std::log2(nfft_)));
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buf_ = new std::complex<double>[nfft_];
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tmp_buf_ = new std::complex<double>[nfft_];
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fir_buf_ = new std::complex<double>[nfft_];
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fir_freq_ = new std::complex<double>[nfft_];
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overlap_.resize(nfft_, 0.0f);
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mask_.resize(nfft_, 1.0f);
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// Build FIR window: falling half of periodic Hann(4096).
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// Plugin reads window[N/2..N-1] of periodic Hann (rising 0→1).
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fir_window_.resize(nfft_);
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for (size_t i = 0; i < nfft_; i++) {
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fir_window_[i] = 0.5 * (1.0 - std::cos(2.0 * M_PI * i / nfft_));
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}
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}
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SpectralProcessor::~SpectralProcessor() {
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delete[] window_;
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delete[] buf_;
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delete[] tmp_buf_;
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delete[] fir_buf_;
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delete[] fir_freq_;
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}
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void SpectralProcessor::setDetectorParams(const std::vector<DetectorBand>& bands) {
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@@ -71,6 +84,11 @@ void SpectralProcessor::processBlock(float* in, float* out, size_t num_samples,
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return;
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}
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static const int firconv = []() {
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const char* e = getenv("RT_FIRCONV");
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return e ? atoi(e) : 0;
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}();
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size_t nframes = (num_samples - nfft_) / hop_ + 1;
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for (size_t f = 0; f < nframes; f++) {
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@@ -80,8 +98,25 @@ void SpectralProcessor::processBlock(float* in, float* out, size_t num_samples,
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detector_.processFrame(buf_, mask_.data());
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for (size_t i = 0; i < nfft_; i++) {
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buf_[i] *= mask_[i];
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if (firconv) {
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// RT_FIRCONV=1: Build FIR from mask and apply via complex multiply.
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// The mask is real-valued (per-bin gain). We apply it directly
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// to the audio spectrum via complex multiply (th_b3c0 equivalent).
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// No upper-half zeroing — preserve Hermitian symmetry.
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for (size_t i = 0; i < nfft_; i++) {
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fir_freq_[i] = std::complex<double>(
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static_cast<double>(mask_[i % (nfft_/2+1)]), 0.0);
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}
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// Complex multiply FIR × audio spectrum.
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for (size_t i = 0; i < nfft_; i++) {
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buf_[i] *= fir_freq_[i];
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}
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} else {
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// Default path: simple frequency-domain mask multiply.
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for (size_t i = 0; i < nfft_; i++) {
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buf_[i] *= mask_[i];
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}
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}
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istftFrame(buf_, out + offset, overlap_.data());
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@@ -25,6 +25,9 @@ private:
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FFTPlan plan_;
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std::complex<double>* buf_;
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std::complex<double>* tmp_buf_;
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std::complex<double>* fir_buf_;
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std::complex<double>* fir_freq_;
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std::vector<double> fir_window_;
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std::vector<float> overlap_;
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std::vector<float> mask_;
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FramedDetector detector_;
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