P4: multi-band FramedDetector (per-band twin res, sens-scaled GAIN, min-combine); tt_base 61.40%; min-combine wrong (soothe2 uses additive accumulator 0x5407c8)
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+44
-35
@@ -10,7 +10,9 @@ namespace {
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constexpr float G_FIT = 0.9963f;
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constexpr float W_FIT = 0.3335f;
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constexpr float A_FIT = 0.9807f;
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constexpr float GAIN = 4.132f; // sqrtf(param_5), sens_lin = GAIN^2
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// sens XML -> internal sens_stored = sens * 2.054 (NOTES_TWIN:74: XML 12 -> 24.65 dB).
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// GAIN_band = sqrt(param_5) = 10^(sens_stored/40).
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constexpr float SENS_SCALE = 2.054f;
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// framed_render.py LUT nodes (Pchip): C = G_FIT*LUT(xv) + W_FIT*warp^A_FIT
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constexpr double LX[12] = {-0.75, -0.5012, -0.5, -0.2012, 0.0988, 0.2488,
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@@ -61,47 +63,49 @@ double lut_eval(double x) {
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} // namespace
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FramedDetector::FramedDetector(size_t nfft, float sample_rate)
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: nfft_(nfft), sample_rate_(sample_rate), fc_(0), q_(1.0), wsum_(0), inited_(false) {
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res_.resize(nfft / 2 + 1, 1.0f);
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: nfft_(nfft), sample_rate_(sample_rate), wsum_(0) {
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warp_.resize(nfft, 0.0f);
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am_.resize(nfft / 2 + 1, 0.0f);
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}
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FramedDetector::~FramedDetector() {}
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void FramedDetector::setParams(float fc, float q) {
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fc_ = fc;
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q_ = std::max(1.0f, q);
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void FramedDetector::setParams(const std::vector<DetectorBand>& bands) {
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bands_ = bands;
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size_t half = nfft_ / 2;
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res_.clear();
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rp_.clear();
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// twin resonance per bin (res = |2B(z)/A(z)|)
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float sens_lin = GAIN * GAIN; // param_5
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detkernel::twin_coeff c = detkernel::build_twin_coeff(
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static_cast<double>(sample_rate_), static_cast<double>(fc),
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static_cast<double>(q_), sens_lin);
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std::vector<detkernel::cplxf> z(half + 1);
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std::vector<detkernel::cplxf> out(half + 1);
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for (size_t k = 0; k <= half; k++) {
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double theta = 2.0 * M_PI * static_cast<double>(k) / static_cast<double>(nfft_);
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z[k].re = static_cast<float>(std::cos(theta));
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z[k].im = static_cast<float>(std::sin(theta));
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}
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detkernel::twin_apply(c, z.data(), half + 1, out.data());
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for (size_t k = 0; k <= half; k++) {
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res_[k] = std::sqrt(out[k].re * out[k].re + out[k].im * out[k].im);
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res_[k] = std::max(res_[k], 1e-12f);
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for (const auto& b : bands_) {
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std::vector<float> r(half + 1, 1.0f);
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float sens_lin = std::pow(10.0f, b.sens * SENS_SCALE / 20.0f); // param_5
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detkernel::twin_coeff c = detkernel::build_twin_coeff(
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static_cast<double>(sample_rate_), static_cast<double>(b.fc),
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static_cast<double>(b.q), sens_lin);
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std::vector<detkernel::cplxf> z(half + 1);
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std::vector<detkernel::cplxf> out(half + 1);
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for (size_t k = 0; k <= half; k++) {
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double theta = 2.0 * M_PI * static_cast<double>(k) / static_cast<double>(nfft_);
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z[k].re = static_cast<float>(std::cos(theta));
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z[k].im = static_cast<float>(std::sin(theta));
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}
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detkernel::twin_apply(c, z.data(), half + 1, out.data());
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for (size_t k = 0; k <= half; k++) {
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r[k] = std::sqrt(out[k].re * out[k].re + out[k].im * out[k].im);
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r[k] = std::max(r[k], 1e-12f);
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}
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res_.push_back(std::move(r));
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rp_.push_back(static_cast<float>(0.0275 * std::pow(static_cast<double>(b.q), 0.2159)));
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}
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// warp (freqpath 0x5406a8)
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detkernel::build_warp(static_cast<float>(sample_rate_),
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static_cast<int>(nfft_), warp_.data());
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inited_ = true;
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if (warp_[0] == 0.0f && warp_[1] == 0.0f) {
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detkernel::build_warp(static_cast<float>(sample_rate_),
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static_cast<int>(nfft_), warp_.data());
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}
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}
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void FramedDetector::processFrame(const std::complex<double>* spectrum, float* mask) {
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size_t half = nfft_ / 2;
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// wsum = sum of sqrt-hann window (compute once via nfft)
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if (wsum_ == 0.0) {
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double s = 0.0;
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for (size_t i = 0; i < nfft_; i++) {
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@@ -114,20 +118,25 @@ void FramedDetector::processFrame(const std::complex<double>* spectrum, float* m
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double att = std::exp(-1.0 * (nfft_ / 4) / (tatt * sample_rate_));
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double rel = std::exp(-1.0 * (nfft_ / 4) / (trel * sample_rate_));
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double rp = 0.0275 * std::pow(static_cast<double>(q_), 0.2159);
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for (size_t k = 0; k <= half; k++) {
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double a_cur = 2.0 * std::abs(spectrum[k]) / wsum_;
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double am = am_[k];
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if (a_cur > am) am = att * am + (1.0 - att) * a_cur;
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else am = rel * am + (1.0 - rel) * a_cur;
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am_[k] = static_cast<float>(am);
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}
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double xv = std::log10(std::max(am / static_cast<double>(res_[k]), 1e-9));
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double C = G_FIT * lut_eval(xv) +
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W_FIT * std::pow(static_cast<double>(warp_[k]), A_FIT);
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double gain = std::max(1.0 - C, 1e-9) *
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std::pow(static_cast<double>(res_[k]), rp);
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for (size_t k = 0; k <= half; k++) {
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double am = am_[k];
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double gain = 1.0;
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for (size_t b = 0; b < bands_.size(); b++) {
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double xv = std::log10(std::max(am / static_cast<double>(res_[b][k]), 1e-9));
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double C = G_FIT * lut_eval(xv) +
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W_FIT * std::pow(static_cast<double>(warp_[k]), A_FIT);
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double g = std::max(1.0 - C, 1e-9) *
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std::pow(static_cast<double>(res_[b][k]), rp_[b]);
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if (g < gain) gain = g;
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}
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mask[k] = static_cast<float>(gain);
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}
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for (size_t k = half + 1; k < nfft_; k++) {
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+19
-16
@@ -3,34 +3,37 @@
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#include <complex>
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#include <vector>
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struct DetectorBand {
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float fc; // band center freq (Hz)
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float q; // resonance Q
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float sens; // XML sens (dB); internal sens_stored = sens * 2.054
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};
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// FramedDetector — C++ port of framed_render.py (Phase 5 pilot, mean=0.175 dB).
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// Per-frame per-bin mask:
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// res[f] = |2B(z)/A(z)| (twin resonance, detkernel::twin)
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// am = 2|X_k|/wsum (per-bin input amplitude, smoothed attack/release)
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// xv = log10(am / res)
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// C = G_FIT*LUT(xv) + W_FIT*warp(f)^A_FIT
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// gain = max(1-C, eps) * res^(rp0*Q^drp)
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// Multi-band: each active band contributes gain_k = (1-C_k)*res_k^rp,
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// final mask = min over bands (max suppression).
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// res_k[f] = |2B(z)/A(z)| (twin resonance, sens-scaled GAIN)
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// am = 2|X_k|/wsum (smoothed per-bin amplitude)
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// xv_k = log10(am / res_k)
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// C_k = G_FIT*LUT(xv_k) + W_FIT*warp(f)^A_FIT
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// gain_k = max(1-C_k, eps) * res_k^(rp0*Q_k^drp)
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class FramedDetector {
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public:
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FramedDetector(size_t nfft, float sample_rate);
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~FramedDetector();
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// fc = band center freq, q = resonance Q (>=1). Precomputes res[] + warp[].
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void setParams(float fc, float q);
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void setParams(const std::vector<DetectorBand>& bands);
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// spectrum = forward FFT of one windowed frame (nfft/2+1 bins used).
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// mask output = per-bin complex gain (nfft entries, mirror applied).
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void processFrame(const std::complex<double>* spectrum, float* mask);
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private:
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size_t nfft_;
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float sample_rate_;
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float fc_;
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float q_;
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double wsum_;
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std::vector<float> res_; // per-bin |2B/A|
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std::vector<float> warp_; // per-bin warp tilt
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std::vector<float> am_; // smoothed per-bin amplitude state
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bool inited_;
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std::vector<DetectorBand> bands_;
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std::vector<std::vector<float>> res_; // per band, per bin |2B/A|
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std::vector<float> warp_; // per-bin warp tilt
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std::vector<float> am_; // smoothed per-bin amplitude
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std::vector<float> rp_; // per-band res power
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};
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+13
-10
@@ -156,18 +156,21 @@ int main(int argc, char* argv[]) {
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}
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SpectralProcessor sp(2048, 512);
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float fc = 500.0f;
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float q = 1.0f;
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if (!params.bands.empty()) {
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for (const auto& b : params.bands) {
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if (b.on > 0.5f && b.freq > 1.0f) {
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fc = static_cast<float>(b.freq);
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q = static_cast<float>(b.q > 0.0f ? b.q : 1.0f);
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break;
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}
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std::vector<DetectorBand> bands;
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for (const auto& b : params.bands) {
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if (b.on > 0.5f && b.freq > 1.0f) {
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DetectorBand db;
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db.fc = static_cast<float>(b.freq);
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db.q = static_cast<float>(b.q > 0.0f ? b.q : 1.0f);
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db.sens = static_cast<float>(b.sens);
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bands.push_back(db);
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}
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}
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sp.setDetectorParams(fc, q);
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if (bands.empty()) {
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DetectorBand db{500.0f, 1.0f, 12.0f};
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bands.push_back(db);
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}
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sp.setDetectorParams(bands);
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std::vector<float> left(frames, 0.0f), right(frames, 0.0f);
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encode_ms(left_in.data(), right_in.data(), frames);
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+2
-2
@@ -21,8 +21,8 @@ SpectralProcessor::~SpectralProcessor() {
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delete[] tmp_buf_;
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}
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void SpectralProcessor::setDetectorParams(float fc, float q) {
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detector_.setParams(fc, q);
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void SpectralProcessor::setDetectorParams(const std::vector<DetectorBand>& bands) {
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detector_.setParams(bands);
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}
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void SpectralProcessor::computeWindow() {
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+1
-1
@@ -14,7 +14,7 @@ public:
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SpectralProcessor(size_t nfft = DEFAULT_NFFT, size_t hop = DEFAULT_HOP);
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~SpectralProcessor();
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void setDetectorParams(float fc, float q);
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void setDetectorParams(const std::vector<DetectorBand>& bands);
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void processBlock(float* in, float* out, size_t num_samples, size_t num_channels = 1);
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private:
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