888 lines
39 KiB
C++
888 lines
39 KiB
C++
// native_bridge/src/BuiltinFxChain.cpp
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// 8 builtin DSP (PLAN_DAW_A.md Phase 2) — port 1:1 từ:
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// - Python app/core/render_engine.py `_apply_builtin_fx_chain` (6 loại:
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// eq, eqpro, compressor, limiter, exciter, rebalance)
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// - JS WebAudio MASTER_MODULE_IO (2 loại: imager, maximizer)
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// Biquad: RBJ cookbook, Direct Form II transposed (cùng công thức Python
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// `_rbj_*`). Block-wise, stateful giữa block — khớp lfilter full-file.
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#define _USE_MATH_DEFINES
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#include "BuiltinFxChain.h"
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#include <algorithm>
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#include <cmath>
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#include <cstdlib>
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#include <cstring>
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#include <deque>
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#include <string>
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#include <vector>
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#include "sheredom_json.h"
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namespace {
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// ── JSON helpers (mirror RenderFxJob.cpp anonymous-namespace versions) ──────
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const json_value_s* memberValue(const json_object_s* o, const char* name) {
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for (const json_object_element_s* e = o->start; e; e = e->next) {
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if (e->name && e->name->string && std::strcmp(e->name->string, name) == 0)
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return e->value;
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}
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return nullptr;
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}
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double memberNumber(const json_object_s* o, const char* name, double def) {
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const json_value_s* v = memberValue(o, name);
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if (v && v->type == json_type_number) return std::atof(static_cast<const json_number_s*>(v->payload)->number);
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return def;
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}
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bool memberBool(const json_object_s* o, const char* name, bool def) {
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const json_value_s* v = memberValue(o, name);
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if (v && v->type == json_type_true) return true;
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if (v && v->type == json_type_false) return false;
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return def;
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}
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std::string memberString(const json_object_s* o, const char* name, const std::string& def) {
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const json_value_s* v = memberValue(o, name);
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if (v && v->type == json_type_string && static_cast<const json_string_s*>(v->payload)->string)
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return std::string(static_cast<const json_string_s*>(v->payload)->string, static_cast<const json_string_s*>(v->payload)->string_size);
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return def;
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}
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// ── Biquad (RBJ, Direct Form II transposed) ─────────────────────────────────
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class Biquad {
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public:
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void setCoeffs(double B0, double B1, double B2, double A1, double A2) {
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b0_ = B0; b1_ = B1; b2_ = B2; a1_ = A1; a2_ = A2;
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}
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// Reset state (đổi params → filter mới: state cũ vô nghĩa, tránh pop).
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void reset() { z1_[0] = z1_[1] = 0; z2_[0] = z2_[1] = 0; }
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float step(int ch, float x) {
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const double y = b0_ * x + z1_[ch];
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z1_[ch] = b1_ * x - a1_ * y + z2_[ch];
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z2_[ch] = b2_ * x - a2_ * y;
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return (float)y;
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}
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void process(float* L, float* R, uint32_t n) {
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for (uint32_t i = 0; i < n; ++i) { L[i] = step(0, L[i]); R[i] = step(1, R[i]); }
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}
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private:
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double b0_ = 1, b1_ = 0, b2_ = 0, a1_ = 0, a2_ = 0;
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double z1_[2] = {0, 0}, z2_[2] = {0, 0};
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};
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// RBJ coefficient generators — công thức y hệt Python `_rbj_*`.
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struct RBJ { double b0, b1, b2, a1, a2; };
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RBJ rbjPeaking(double f0, double gdb, double q, double sr) {
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const double A = std::pow(10.0, gdb / 40.0);
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const double w0 = 2.0 * M_PI * f0 / sr;
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const double alpha = std::sin(w0) / (2.0 * q);
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const double cw = std::cos(w0);
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const double a0 = 1.0 + alpha / A;
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RBJ r;
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r.b0 = (1.0 + alpha * A) / a0;
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r.b1 = (-2.0 * cw) / a0;
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r.b2 = (1.0 - alpha * A) / a0;
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r.a1 = (-2.0 * cw) / a0;
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r.a2 = (1.0 - alpha / A) / a0;
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return r;
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}
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RBJ rbjShelf(double f0, double gdb, double q, double sr, bool low) {
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const double A = std::pow(10.0, gdb / 40.0);
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const double w0 = 2.0 * M_PI * f0 / sr;
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const double alpha = std::sin(w0) / (2.0 * q);
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const double cw = std::cos(w0);
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const double sA = 2.0 * std::sqrt(A) * alpha;
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RBJ r;
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if (low) {
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const double a0 = (A + 1) + (A - 1) * cw + sA;
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r.b0 = A * ((A + 1) - (A - 1) * cw + sA) / a0;
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r.b1 = 2.0 * A * ((A - 1) - (A + 1) * cw) / a0;
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r.b2 = A * ((A + 1) - (A - 1) * cw - sA) / a0;
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r.a1 = -2.0 * ((A - 1) + (A + 1) * cw) / a0;
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r.a2 = ((A + 1) + (A - 1) * cw - sA) / a0;
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} else {
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const double a0 = (A + 1) - (A - 1) * cw + sA;
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r.b0 = A * ((A + 1) + (A - 1) * cw + sA) / a0;
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r.b1 = -2.0 * A * ((A - 1) + (A + 1) * cw) / a0;
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r.b2 = A * ((A + 1) + (A - 1) * cw - sA) / a0;
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r.a1 = 2.0 * ((A - 1) - (A + 1) * cw) / a0;
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r.a2 = ((A + 1) - (A - 1) * cw - sA) / a0;
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}
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return r;
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}
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RBJ rbjHighpass(double f0, double q, double sr) {
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const double w0 = 2.0 * M_PI * f0 / sr;
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const double alpha = std::sin(w0) / (2.0 * q);
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const double cw = std::cos(w0);
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const double a0 = 1.0 + alpha;
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RBJ r;
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r.b0 = ((1.0 + cw) / 2.0) / a0;
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r.b1 = (-(1.0 + cw)) / a0;
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r.b2 = ((1.0 + cw) / 2.0) / a0;
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r.a1 = (-2.0 * cw) / a0;
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r.a2 = (1.0 - alpha) / a0;
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return r;
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}
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RBJ rbjLowpass(double f0, double q, double sr) {
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const double w0 = 2.0 * M_PI * f0 / sr;
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const double alpha = std::sin(w0) / (2.0 * q);
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const double cw = std::cos(w0);
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const double a0 = 1.0 + alpha;
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RBJ r;
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r.b0 = ((1.0 - cw) / 2.0) / a0;
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r.b1 = (1.0 - cw) / a0;
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r.b2 = ((1.0 - cw) / 2.0) / a0;
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r.a1 = (-2.0 * cw) / a0;
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r.a2 = (1.0 - alpha) / a0;
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return r;
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}
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// ── EQ 4-band (track 'eq'): lowshelf 100Hz, peaking 800Hz Q0.7, peaking
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// 3200Hz Q1.2, highshelf 10kHz — cùng thứ tự/đáp ứng Python `_apply_eq4`.
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class Eq4Fx : public BuiltinFx {
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public:
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Eq4Fx(const json_object_s* params, double sr) : sr_(sr) {
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static const double kF0[4] = {100, 800, 3200, 10000};
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static const double kQ[4] = {0.707, 0.7, 1.2, 0.707};
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static const bool kLow[4] = {true, false, false, false};
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for (int i = 0; i < 4; ++i) { f0_[i] = kF0[i]; q_[i] = kQ[i]; low_[i] = kLow[i]; }
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if (params) for (int i = 0; i < 4; ++i)
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gains_[i] = memberNumber(params, ("g" + std::to_string(i + 1)).c_str(), 0.0);
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rebuild();
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}
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void process(float* L, float* R, uint32_t n) override {
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for (int i = 0; i < 4; ++i) if (gains_[i] != 0.0) bands_[i].process(L, R, n);
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}
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bool setParam(const std::string& key, double value) override {
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if (key.size() == 2 && key[0] == 'g' && key[1] >= '1' && key[1] <= '4') {
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gains_[key[1] - '1'] = value;
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rebuild();
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return true;
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}
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return false;
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}
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private:
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void rebuild() {
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for (int i = 0; i < 4; ++i) {
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const RBJ r = low_[i] ? rbjShelf(f0_[i], gains_[i], q_[i], sr_, true)
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: (i == 3 ? rbjShelf(f0_[i], gains_[i], q_[i], sr_, false)
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: rbjPeaking(f0_[i], gains_[i], q_[i], sr_));
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bands_[i].setCoeffs(r.b0, r.b1, r.b2, r.a1, r.a2);
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bands_[i].reset();
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}
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}
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double sr_, gains_[4] = {0, 0, 0, 0}, f0_[4], q_[4];
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bool low_[4];
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Biquad bands_[4];
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};
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// ── EQ Pro: RBJ per-band từ params.bands[] + amount — Python `_apply_eqpro`.
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class EqProFx : public BuiltinFx {
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public:
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EqProFx(const json_object_s* params, double sr) : sr_(sr) {
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if (params) {
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amount_ = memberNumber(params, "amount", 100.0) / 100.0;
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const json_value_s* bv = memberValue(params, "bands");
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if (bv && bv->type == json_type_array) {
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const json_array_s* arr = static_cast<const json_array_s*>(bv->payload);
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for (const json_array_element_s* el = arr->start; el; el = el->next) {
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if (!el->value || el->value->type != json_type_object) continue;
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const json_object_s* bo = static_cast<const json_object_s*>(el->value->payload);
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Band b;
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b.active = memberBool(bo, "active", true);
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b.gain = memberNumber(bo, "gain", 0.0);
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b.freq = memberNumber(bo, "freq", 1000.0);
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b.q = memberNumber(bo, "q", 1.0);
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b.type = memberString(bo, "type", "peaking");
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bands_.push_back(b);
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}
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}
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}
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rebuild();
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}
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void process(float* L, float* R, uint32_t n) override {
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for (size_t i = 0; i < bqs_.size(); ++i) {
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if (!bands_[i].active || bands_[i].gain == 0.0) continue;
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bqs_[i].process(L, R, n);
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}
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}
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bool setParam(const std::string& key, double value) override {
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if (key == "amount") { amount_ = value / 100.0; rebuild(); return true; }
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if (key.compare(0, 4, "band") == 0) {
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const size_t us = key.find('_', 4);
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if (us != std::string::npos && us > 4) {
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const int idx = std::atoi(key.c_str() + 4);
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const std::string field = key.substr(us + 1);
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if (idx >= 0 && idx < (int)bands_.size()) {
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Band& b = bands_[idx];
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if (field == "freq") b.freq = value;
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else if (field == "gain") b.gain = value;
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else if (field == "q") b.q = value;
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else if (field == "active") b.active = (value != 0.0);
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else return false;
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rebuild();
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return true;
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}
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}
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}
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return false;
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}
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private:
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struct Band { bool active = true; double gain = 0, freq = 1000, q = 1; std::string type; };
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void rebuild() {
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bqs_.clear();
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for (const auto& b : bands_) {
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const double g = b.gain * amount_;
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RBJ r;
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if (b.type == "lowshelf") r = rbjShelf(b.freq, g, b.q, sr_, true);
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else if (b.type == "highshelf") r = rbjShelf(b.freq, g, b.q, sr_, false);
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else if (b.type == "highpass") r = rbjHighpass(b.freq, b.q, sr_);
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else r = rbjPeaking(b.freq, g, b.q, sr_); // peaking/lowpass/notch/bandpass
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Biquad bq;
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bq.setCoeffs(r.b0, r.b1, r.b2, r.a1, r.a2);
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bqs_.push_back(bq);
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}
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}
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double sr_, amount_ = 1.0;
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std::vector<Band> bands_;
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std::vector<Biquad> bqs_;
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};
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// ── Compressor: block-256 peak env, release 250ms — mirror Python 1:1.
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class CompressorFx : public BuiltinFx {
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public:
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explicit CompressorFx(const json_object_s* params, double sr) : sr_(sr) {
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if (params) {
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threshold_ = memberNumber(params, "threshold", -16.0);
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ratio_ = std::max(1.0, memberNumber(params, "ratio", 3.0));
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makeupDb_ = memberNumber(params, "makeup", 0.0);
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}
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rel_ = std::exp(-1.0 / (sr_ * 0.25));
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makeup_ = std::pow(10.0, makeupDb_ / 20.0);
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}
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void process(float* L, float* R, uint32_t n) override {
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const uint32_t block = 256;
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float* chans[2] = {L, R};
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for (int c = 0; c < 2; ++c) {
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float* x = chans[c];
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double env = env_[c];
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for (uint32_t pos = 0; pos < n; pos += block) {
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const uint32_t nb = std::min<uint32_t>(block, n - pos);
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float peak = 0.f;
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for (uint32_t i = 0; i < nb; ++i) peak = std::max(peak, std::fabs(x[pos + i]));
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env = std::max((double)peak, env * rel_);
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float g = (float)makeup_;
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if (env > 1e-9) {
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const double db = 20.0 * std::log10(env);
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const double over = db - threshold_;
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if (over > 0.0) {
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const double gdb = -over * (1.0 - 1.0 / ratio_);
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g = (float)(std::pow(10.0, gdb / 20.0) * makeup_);
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}
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}
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for (uint32_t i = 0; i < nb; ++i) x[pos + i] *= g;
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}
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env_[c] = env;
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}
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}
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bool setParam(const std::string& key, double value) override {
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if (key == "threshold") { threshold_ = value; return true; }
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if (key == "ratio") { ratio_ = std::max(1.0, value); return true; }
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if (key == "makeup") { makeupDb_ = value; makeup_ = std::pow(10.0, makeupDb_ / 20.0); return true; }
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return false;
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}
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private:
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double sr_, threshold_ = -16.0, ratio_ = 3.0, makeupDb_ = 0.0, rel_, makeup_ = 1.0;
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double env_[2] = {0, 0};
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};
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// ── Limiter: soft = tanh brickwall (mặc định); brickwall = lookahead peak
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// limiter + oversample 4x + hard clip — mirror Python `_apply_limiter` / JS limNode.
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class LimiterFx : public BuiltinFx {
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public:
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explicit LimiterFx(const json_object_s* params, double sr) : sr_(sr) {
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if (params) {
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ceilingDb_ = std::min(0.0, memberNumber(params, "ceiling", -1.0));
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const double mnum = memberNumber(params, "mode", 0.0);
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const std::string mstr = memberString(params, "mode", "");
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if (mstr == "brickwall" || mnum == 1.0) modeBrick_ = true;
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setLookahead(memberNumber(params, "lookahead_ms", 2.0));
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} else {
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setLookahead(2.0);
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}
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rebuild();
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}
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void process(float* L, float* R, uint32_t n) override {
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if (!modeBrick_) {
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for (uint32_t i = 0; i < n; ++i) {
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const float x = std::max(-1.f, std::min(1.f, L[i]));
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L[i] = (float)(std::tanh((double)x * k_) / tanhK_);
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const float y = std::max(-1.f, std::min(1.f, R[i]));
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R[i] = (float)(std::tanh((double)y * k_) / tanhK_);
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}
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return;
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}
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// Stage 1: lookahead peak limiter (linked stereo). Ring 2L lưu input;
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// deque giữ max |x| window [idx-L+1, idx]. Emit x[t-L] với t=idx-L+1,
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// gain = ceiling/peak (smoothing: attack 1ms, release 150ms) — transient
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// nằm trong window đủ L mẫu trước khi chính nó được emit nên bị bắt.
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const int Lk = lookSamples_;
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const int ringSize = 2 * Lk;
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const int64_t start = (int64_t)totalIn_;
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for (uint32_t j = 0; j < n; ++j) {
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const int64_t idx = start + j;
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const float xl = L[j], xr = R[j];
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const float pl = xl < 0.f ? -xl : xl;
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const float pr = xr < 0.f ? -xr : xr;
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const double peak = std::max((double)pl, (double)pr);
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ringL_[idx % ringSize] = xl;
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ringR_[idx % ringSize] = xr;
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while (!dq_.empty() && dq_.back().val <= peak) dq_.pop_back();
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dq_.push_back({(int)idx, peak});
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while (!dq_.empty() && dq_.front().idx < (int)idx - Lk + 1) dq_.pop_front();
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const double curPeak = dq_.empty() ? 0.0 : dq_.front().val;
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const double target = curPeak > ceilingLin_ ? ceilingLin_ / curPeak : 1.0;
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gain_ += (target < gain_ ? attackCoef_ : releaseCoef_) * (target - gain_);
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const int t = (int)idx - Lk + 1;
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const int audioSlot = modPos(t - Lk, ringSize);
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L[j] = (float)(ringL_[audioSlot] * gain_);
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R[j] = (float)(ringR_[audioSlot] * gain_);
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}
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totalIn_ += n;
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// Stage 2: oversample 4x (zero-stuff) → FIR33 (cutoff 0.25) → hard
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// clip ceiling → FIR33 → decimate (k&3==0). Out[j]=y2[4j], delay 8.
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for (uint32_t j = 0; j < n; ++j) {
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float outL = 0.f, outR = 0.f;
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for (int m = 0; m < 4; ++m) {
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const double xv = (m == 0) ? (double)L[j] : 0.0;
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const double y1 = fir1L_.step(xv);
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const double yc = std::max(-ceilingLin_, std::min(ceilingLin_, y1));
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if (m == 0) outL = (float)fir2L_.step(yc); else fir2L_.step(yc);
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}
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L[j] = outL;
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for (int m = 0; m < 4; ++m) {
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const double xv = (m == 0) ? (double)R[j] : 0.0;
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const double y1 = fir1R_.step(xv);
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const double yc = std::max(-ceilingLin_, std::min(ceilingLin_, y1));
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|
if (m == 0) outR = (float)fir2R_.step(yc); else fir2R_.step(yc);
|
|
}
|
|
R[j] = outR;
|
|
}
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
if (key == "ceiling") { ceilingDb_ = std::min(0.0, value); rebuild(); return true; }
|
|
if (key == "mode") { modeBrick_ = (value == 1.0); return true; }
|
|
if (key == "lookahead_ms") { setLookahead(value); return true; }
|
|
return false;
|
|
}
|
|
private:
|
|
static int modPos(int a, int m) { int r = a % m; return r < 0 ? r + m : r; }
|
|
void setLookahead(double ms) {
|
|
lookaheadMs_ = std::min(5.0, std::max(1.0, ms));
|
|
lookSamples_ = std::max(1, (int)std::lround(sr_ * lookaheadMs_ / 1000.0));
|
|
ringL_.assign((size_t)(2 * lookSamples_), 0.0f);
|
|
ringR_.assign((size_t)(2 * lookSamples_), 0.0f);
|
|
dq_.clear();
|
|
totalIn_ = 0;
|
|
gain_ = 1.0;
|
|
}
|
|
void rebuild() {
|
|
ceilingLin_ = std::pow(10.0, ceilingDb_ / 20.0);
|
|
const double th = std::max(0.02, ceilingLin_);
|
|
k_ = 1.0 / th;
|
|
tanhK_ = std::tanh(k_);
|
|
attackCoef_ = 1.0 - std::exp(-1.0 / (sr_ * 0.001));
|
|
releaseCoef_ = 1.0 - std::exp(-1.0 / (sr_ * 0.150));
|
|
buildFir(fir1L_.taps, 4.0); // upsampler: gain L=4 bù zero-stuff
|
|
buildFir(fir2L_.taps, 1.0); // downsampler: gain 1
|
|
buildFir(fir1R_.taps, 4.0);
|
|
buildFir(fir2R_.taps, 1.0);
|
|
fir1L_.reset(); fir2L_.reset(); fir1R_.reset(); fir2R_.reset();
|
|
}
|
|
// 33-tap Hamming-windowed sinc, 2*fc = 0.25 (fc = 0.125 cycles/sample của
|
|
// stream 4x = Nyquist gốc), group delay 16, normalize DC gain = gain.
|
|
static void buildFir(double* taps, double gain) {
|
|
const double pi = 3.14159265358979323846;
|
|
const double fc2 = 0.25;
|
|
double sum = 0.0;
|
|
for (int i = 0; i < 33; ++i) {
|
|
const double t = i - 16.0;
|
|
const double sincv = (t == 0.0) ? 1.0 : std::sin(pi * fc2 * t) / (pi * fc2 * t);
|
|
const double w = 0.54 - 0.46 * std::cos(2.0 * pi * i / 32.0);
|
|
taps[i] = w * fc2 * sincv;
|
|
sum += taps[i];
|
|
}
|
|
for (int i = 0; i < 33; ++i) taps[i] *= gain / sum;
|
|
}
|
|
struct Fir33 {
|
|
double buf[33] = {0};
|
|
int pos = 0;
|
|
double step(double x) {
|
|
buf[pos] = x;
|
|
pos = (pos + 1) % 33;
|
|
double y = 0.0;
|
|
for (int m = 0; m < 33; ++m) y += taps[m] * buf[(pos + 32 - m) % 33];
|
|
return y;
|
|
}
|
|
void reset() { std::memset(buf, 0, sizeof(buf)); pos = 0; }
|
|
double taps[33];
|
|
};
|
|
double sr_;
|
|
double ceilingDb_ = -1.0, ceilingLin_ = 1.0, k_, tanhK_;
|
|
double lookaheadMs_ = 2.0;
|
|
int lookSamples_ = 0;
|
|
bool modeBrick_ = false;
|
|
uint64_t totalIn_ = 0;
|
|
double gain_ = 1.0, attackCoef_, releaseCoef_;
|
|
std::vector<float> ringL_, ringR_;
|
|
struct Pk { int idx; double val; };
|
|
std::deque<Pk> dq_;
|
|
Fir33 fir1L_, fir2L_, fir1R_, fir2R_;
|
|
};
|
|
|
|
// ── Exciter: highpass 2kHz Q0.7 + tanh — mirror Python `_apply_exciter`.
|
|
class ExciterFx : public BuiltinFx {
|
|
public:
|
|
explicit ExciterFx(const json_object_s* params, double sr) : sr_(sr) {
|
|
if (params) drive_ = memberNumber(params, "drive", 40.0);
|
|
wet_ = (drive_ / 100.0) * 0.6;
|
|
const RBJ r = rbjHighpass(2000.0, 0.7, sr_);
|
|
hp_.setCoeffs(r.b0, r.b1, r.b2, r.a1, r.a2);
|
|
}
|
|
void process(float* L, float* R, uint32_t n) override {
|
|
for (uint32_t i = 0; i < n; ++i) {
|
|
const float yl = hp_.step(0, L[i]);
|
|
L[i] = L[i] + (float)(std::tanh(yl * 3.0) * wet_);
|
|
const float yr = hp_.step(1, R[i]);
|
|
R[i] = R[i] + (float)(std::tanh(yr * 3.0) * wet_);
|
|
}
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
if (key == "drive") { drive_ = value; wet_ = (drive_ / 100.0) * 0.6; return true; }
|
|
return false;
|
|
}
|
|
private:
|
|
double sr_, drive_ = 40.0, wet_;
|
|
Biquad hp_;
|
|
};
|
|
|
|
// ── Rebalance: M/S crossfeed L'=a·L+b·R, R'=b·L+a·R — Python `_apply_rebalance`.
|
|
class RebalanceFx : public BuiltinFx {
|
|
public:
|
|
explicit RebalanceFx(const json_object_s* params) {
|
|
if (params) {
|
|
mid_ = memberNumber(params, "mid", 0.0);
|
|
side_ = memberNumber(params, "side", 0.0);
|
|
}
|
|
rebuild();
|
|
}
|
|
void process(float* L, float* R, uint32_t n) override {
|
|
for (uint32_t i = 0; i < n; ++i) {
|
|
const float l = L[i], r = R[i];
|
|
L[i] = (float)(a_ * l + b_ * r);
|
|
R[i] = (float)(b_ * l + a_ * r);
|
|
}
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
if (key == "mid") { mid_ = value; rebuild(); return true; }
|
|
if (key == "side") { side_ = value; rebuild(); return true; }
|
|
return false;
|
|
}
|
|
private:
|
|
void rebuild() {
|
|
const double mid = std::pow(10.0, mid_ / 20.0);
|
|
const double side = std::pow(10.0, side_ / 20.0);
|
|
a_ = (mid + side) / 2.0;
|
|
b_ = (mid - side) / 2.0;
|
|
}
|
|
double mid_ = 0, side_ = 0, a_ = 1, b_ = 0;
|
|
};
|
|
|
|
// ── Imager: 4-band crossover (100/1000/6000Hz, WebAudio biquad Q=1) + M/S
|
|
// width per band — JS MASTER_MODULE_IO imager (updateImagerBand).
|
|
// Band1=LP100, Band2=HP100+LP1000, Band3=HP1000+LP6000, Band4=HP6000.
|
|
class ImagerFx : public BuiltinFx {
|
|
public:
|
|
explicit ImagerFx(const json_object_s* params, double sr) : sr_(sr) {
|
|
for (int i = 0; i < 4; ++i) {
|
|
w_[i] = 100.0;
|
|
if (params) w_[i] = memberNumber(params, ("w" + std::to_string(i + 1)).c_str(), 100.0);
|
|
}
|
|
// Crossover filter graph (mỗi band 1-2 biquad nối tiếp).
|
|
// Mặc định: band 0/3 chỉ 1 stage; band 1/2 có 2 stage. Stage thừa bị
|
|
// tắt (active=false) — `{}` init sẽ zero mọi field nên phải set lại.
|
|
for (int b = 0; b < 4; ++b) for (int f = 0; f < 2; ++f)
|
|
band_[b][f].active = true;
|
|
const RBJ lp100 = rbjLowpass(100, 1.0, sr_), hp100 = rbjHighpass(100, 1.0, sr_);
|
|
const RBJ lp1k = rbjLowpass(1000, 1.0, sr_), hp1k = rbjHighpass(1000, 1.0, sr_);
|
|
const RBJ lp6k = rbjLowpass(6000, 1.0, sr_), hp6k = rbjHighpass(6000, 1.0, sr_);
|
|
apply(lp100, band_[0][0]);
|
|
apply(hp100, band_[1][0]); apply(lp1k, band_[1][1]);
|
|
apply(hp1k, band_[2][0]); apply(lp6k, band_[2][1]);
|
|
apply(hp6k, band_[3][0]);
|
|
band_[0][1].active = false;
|
|
band_[3][1].active = false;
|
|
}
|
|
void process(float* L, float* R, uint32_t n) override {
|
|
// Biquad xử lý in-place trên bản sao band (không hủy input).
|
|
std::vector<float> bl(n), br(n);
|
|
std::vector<float> accL(n), accR(n);
|
|
for (int b = 0; b < 4; ++b) {
|
|
std::memcpy(bl.data(), L, n * sizeof(float));
|
|
std::memcpy(br.data(), R, n * sizeof(float));
|
|
for (int f = 0; f < 2 && band_[b][f].active; ++f) {
|
|
band_[b][f].bq.process(bl.data(), br.data(), n);
|
|
}
|
|
const double width = std::max(0.0, std::min(200.0, w_[b]));
|
|
const double g1 = (width + 100.0) / 200.0;
|
|
const double g2 = (100.0 - width) / 200.0;
|
|
for (uint32_t i = 0; i < n; ++i) {
|
|
accL[i] += (float)(g1 * bl[i] + g2 * br[i]);
|
|
accR[i] += (float)(g1 * br[i] + g2 * bl[i]);
|
|
}
|
|
}
|
|
std::memcpy(L, accL.data(), n * sizeof(float));
|
|
std::memcpy(R, accR.data(), n * sizeof(float));
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
if (key.size() == 2 && key[0] == 'w' && key[1] >= '1' && key[1] <= '4') {
|
|
w_[key[1] - '1'] = value;
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
private:
|
|
struct BandFilter { Biquad bq; bool active = true; };
|
|
static void apply(const RBJ& r, BandFilter& f) {
|
|
f.bq.setCoeffs(r.b0, r.b1, r.b2, r.a1, r.a2);
|
|
}
|
|
double sr_, w_[4];
|
|
BandFilter band_[4][2] = {}; // [band][stage]; stage 2 inactive → skip
|
|
};
|
|
|
|
// ── File-scope 33-tap FIR (dùng cho oversample Maximizer) — mirrors Fir33
|
|
// private của LimiterFx; dùng chung thay vì refactor code D2 đã verify.
|
|
struct Fir33Shared {
|
|
double buf[33] = {0};
|
|
int pos = 0;
|
|
double step(double x) {
|
|
buf[pos] = x;
|
|
pos = (pos + 1) % 33;
|
|
double y = 0.0;
|
|
for (int m = 0; m < 33; ++m) y += taps[m] * buf[(pos + 32 - m) % 33];
|
|
return y;
|
|
}
|
|
void reset() { std::memset(buf, 0, sizeof(buf)); pos = 0; }
|
|
double taps[33];
|
|
};
|
|
|
|
// 33-tap Hamming sinc, 2*fc = 0.25 (fc = 0.125 cycles/sample stream 4x), group
|
|
// delay 16, normalize DC = gain.
|
|
static void buildFir33Shared(double* taps, double gain) {
|
|
const double pi = 3.14159265358979323846;
|
|
const double fc2 = 0.25;
|
|
double sum = 0.0;
|
|
for (int i = 0; i < 33; ++i) {
|
|
const double t = i - 16.0;
|
|
const double sincv = (t == 0.0) ? 1.0 : std::sin(pi * fc2 * t) / (pi * fc2 * t);
|
|
const double w = 0.54 - 0.46 * std::cos(2.0 * pi * i / 32.0);
|
|
taps[i] = w * fc2 * sincv;
|
|
sum += taps[i];
|
|
}
|
|
for (int i = 0; i < 33; ++i) taps[i] *= gain / sum;
|
|
}
|
|
|
|
// ── Maximizer: boost → soft-clip → (+upward comp) → ceiling clip — JS
|
|
// MASTER_MODULE_IO maximizer. Upward compressor approximates WebAudio
|
|
// DynamicsCompressor (soft-knee, attack/release) — `ponytail: port Chromium
|
|
// algorithm chính xác nếu cần bit-parity; default maxUpward=0 → no-op`.
|
|
// Nonlinear (soft-clip + ceiling) chạy ở 4x (zero-stuff → FIR33 → clip →
|
|
// FIR33 → decimate) để giảm aliasing — mirror LimiterFx brickwall.
|
|
// ponytail: toggle oversample off khi realtime CPU kham không nổi.
|
|
class MaximizerFx : public BuiltinFx {
|
|
public:
|
|
explicit MaximizerFx(const json_object_s* params, double sr) : sr_(sr) {
|
|
if (params) {
|
|
boostDb_ = memberNumber(params, "boost_db", 0.0);
|
|
softClip_ = memberNumber(params, "soft_clip", 0.0);
|
|
upward_ = memberNumber(params, "upward", 0.0);
|
|
ceilingDb_ = memberNumber(params, "ceiling_db", -0.1);
|
|
}
|
|
rebuild();
|
|
att_ = std::exp(-1.0 / (sr_ * 0.01));
|
|
rel_ = std::exp(-1.0 / (sr_ * 0.1));
|
|
}
|
|
void process(float* L, float* R, uint32_t n) override {
|
|
for (uint32_t j = 0; j < n; ++j) {
|
|
float outL = 0.f, outR = 0.f;
|
|
for (int m = 0; m < 4; ++m) {
|
|
const double xv = (m == 0) ? (double)L[j] : 0.0;
|
|
const double y1 = fir1L_.step(xv);
|
|
const double yc = processSample(0, (float)y1);
|
|
const double yd = fir2L_.step(yc);
|
|
// clamp hậu decimation: FIR ringing sau clip có thể vượt ceiling
|
|
// ~0.2dB — sample peak phải ≤ ceiling (true peak xử lý ở export).
|
|
if (m == 0) outL = (float)std::max(-ceiling_, std::min(ceiling_, yd));
|
|
}
|
|
L[j] = outL;
|
|
for (int m = 0; m < 4; ++m) {
|
|
const double xv = (m == 0) ? (double)R[j] : 0.0;
|
|
const double y1 = fir1R_.step(xv);
|
|
const double yc = processSample(1, (float)y1);
|
|
const double yd = fir2R_.step(yc);
|
|
if (m == 0) outR = (float)std::max(-ceiling_, std::min(ceiling_, yd));
|
|
}
|
|
R[j] = outR;
|
|
}
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
if (key == "boost_db") { boostDb_ = value; rebuild(); return true; }
|
|
if (key == "soft_clip") { softClip_ = value; rebuild(); return true; }
|
|
if (key == "upward") { upward_ = value; rebuild(); return true; }
|
|
if (key == "ceiling_db") { ceilingDb_ = value; rebuild(); return true; }
|
|
return false;
|
|
}
|
|
private:
|
|
void rebuild() {
|
|
boost_ = std::pow(10.0, std::max(-60.0, std::min(30.0, boostDb_)) / 20.0);
|
|
const double p = std::max(0.0, std::min(100.0, softClip_));
|
|
t_ = 1.0 - (p / 100.0) * 0.8;
|
|
inv_ = 1.0 - t_;
|
|
upwardGain_ = upward_ > 0 ? std::pow(10.0, std::max(0.0, std::min(30.0, upward_)) / 20.0) - 1.0 : 0.0;
|
|
ceiling_ = std::pow(10.0, std::max(-60.0, std::min(0.0, ceilingDb_)) / 20.0);
|
|
buildFir33Shared(fir1L_.taps, 4.0); // upsampler: gain L=4 bù zero-stuff
|
|
buildFir33Shared(fir2L_.taps, 1.0); // downsampler: gain 1
|
|
buildFir33Shared(fir1R_.taps, 4.0);
|
|
buildFir33Shared(fir2R_.taps, 1.0);
|
|
fir1L_.reset(); fir2L_.reset(); fir1R_.reset(); fir2R_.reset();
|
|
}
|
|
float softClip(float x) const {
|
|
const float ax = std::fabs(x);
|
|
if (ax < (float)t_) return x;
|
|
return (float)((x < 0 ? -1.0 : 1.0) * (t_ + inv_ * std::tanh((ax - t_) / inv_)));
|
|
}
|
|
// Soft-knee feedforward compressor (DynamicsCompressor-ish).
|
|
float upwardComp(int ch, float x) {
|
|
const float ax = std::fabs(x);
|
|
if (ax > env_[ch]) env_[ch] = att_ * env_[ch] + (1.0 - att_) * ax;
|
|
else env_[ch] = rel_ * env_[ch] + (1.0 - rel_) * ax;
|
|
double db = 20.0 * std::log10(std::max(env_[ch], 1e-12));
|
|
double y = db - (-30.0); // threshold -30dB
|
|
double g = 1.0;
|
|
if (2.0 * y > 10.0) { // beyond knee → slope 1/ratio
|
|
g = std::pow(10.0, -y * (1.0 - 1.0 / 4.0) / 20.0);
|
|
} else if (2.0 * y > -10.0) { // soft knee
|
|
const double k = 10.0;
|
|
g = std::pow(10.0, -(1.0 - 1.0 / 4.0) * (y + k / 2.0) * (y + k / 2.0) / (2.0 * k) / 20.0);
|
|
}
|
|
return (float)(g * x);
|
|
}
|
|
float processSample(int ch, float x) {
|
|
const float xb = (float)(boost_ * x);
|
|
const float dry = softClip(xb);
|
|
const float wet = upwardGain_ * upwardComp(ch, xb);
|
|
const float sum = dry + wet;
|
|
return std::max(-(float)ceiling_, std::min((float)ceiling_, sum));
|
|
}
|
|
double sr_, boostDb_ = 0, softClip_ = 0, upward_ = 0, ceilingDb_ = -0.1;
|
|
double boost_ = 1.0, t_ = 1.0, inv_ = 0.0, upwardGain_ = 0.0, ceiling_ = 0.9886;
|
|
double att_, rel_;
|
|
double env_[2] = {0, 0};
|
|
Fir33Shared fir1L_, fir2L_, fir1R_, fir2R_;
|
|
};
|
|
|
|
// ── Multiband compressor: 3 band (low/mid/high) qua crossover biquad
|
|
// (LP f1, HP f1+LP f2, HP f2 — mirror ImagerFx 4-band split), mỗi band nén
|
|
// block-envelope độc lập (threshold/ratio/makeup) rồi cộng lại. Gap 10.
|
|
class MultibandFx : public BuiltinFx {
|
|
public:
|
|
explicit MultibandFx(const json_object_s* params, double sr) : sr_(sr) {
|
|
if (params) {
|
|
lfCross_ = std::max(40.0, std::min(1000.0, memberNumber(params, "lf_cross", 200.0)));
|
|
hfCross_ = std::max(1000.0, std::min(12000.0, memberNumber(params, "hf_cross", 4000.0)));
|
|
thr_[0] = memberNumber(params, "low_thr", -24.0);
|
|
rat_[0] = std::max(1.0, memberNumber(params, "low_ratio", 3.0));
|
|
mk_[0] = memberNumber(params, "low_makeup", 0.0);
|
|
thr_[1] = memberNumber(params, "mid_thr", -24.0);
|
|
rat_[1] = std::max(1.0, memberNumber(params, "mid_ratio", 3.0));
|
|
mk_[1] = memberNumber(params, "mid_makeup", 0.0);
|
|
thr_[2] = memberNumber(params, "high_thr", -24.0);
|
|
rat_[2] = std::max(1.0, memberNumber(params, "high_ratio", 3.0));
|
|
mk_[2] = memberNumber(params, "high_makeup", 0.0);
|
|
}
|
|
rel_ = std::exp(-1.0 / (sr_ * 0.25));
|
|
for (int b = 0; b < 3; ++b) mkLin_[b] = std::pow(10.0, mk_[b] / 20.0);
|
|
rebuild();
|
|
}
|
|
void process(float* L, float* R, uint32_t n) override {
|
|
const uint32_t block = 256;
|
|
std::vector<float> bl(n), br(n);
|
|
std::vector<float> accL(n), accR(n);
|
|
for (int b = 0; b < 3; ++b) {
|
|
std::memcpy(bl.data(), L, n * sizeof(float));
|
|
std::memcpy(br.data(), R, n * sizeof(float));
|
|
for (int f = 0; f < 4 && band_[b][f].active; ++f)
|
|
band_[b][f].bq.process(bl.data(), br.data(), n);
|
|
// block-envelope compressor per band (mirror CompressorFx)
|
|
for (int c = 0; c < 2; ++c) {
|
|
float* x = (c == 0) ? bl.data() : br.data();
|
|
double env = env_[b][c];
|
|
for (uint32_t pos = 0; pos < n; pos += block) {
|
|
const uint32_t nb = std::min<uint32_t>(block, n - pos);
|
|
float peak = 0.f;
|
|
for (uint32_t i = 0; i < nb; ++i) peak = std::max(peak, std::fabs(x[pos + i]));
|
|
env = std::max((double)peak, env * rel_);
|
|
float g = (float)mkLin_[b];
|
|
if (env > 1e-9) {
|
|
const double db = 20.0 * std::log10(env);
|
|
const double over = db - thr_[b];
|
|
if (over > 0.0) {
|
|
const double gdb = -over * (1.0 - 1.0 / rat_[b]);
|
|
g = (float)(std::pow(10.0, gdb / 20.0) * mkLin_[b]);
|
|
}
|
|
}
|
|
for (uint32_t i = 0; i < nb; ++i) x[pos + i] *= g;
|
|
}
|
|
env_[b][c] = env;
|
|
}
|
|
for (uint32_t i = 0; i < n; ++i) { accL[i] += bl[i]; accR[i] += br[i]; }
|
|
}
|
|
std::memcpy(L, accL.data(), n * sizeof(float));
|
|
std::memcpy(R, accR.data(), n * sizeof(float));
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
const char* k = key.c_str();
|
|
if (!std::strcmp(k, "lf_cross") || !std::strcmp(k, "hf_cross")) {
|
|
if (!std::strcmp(k, "lf_cross")) lfCross_ = std::max(40.0, std::min(1000.0, value));
|
|
else hfCross_ = std::max(1000.0, std::min(12000.0, value));
|
|
rebuild();
|
|
return true;
|
|
}
|
|
const char* prefix[] = {"low_", "mid_", "high_"};
|
|
for (int b = 0; b < 3; ++b) {
|
|
if (key == std::string(prefix[b]) + "thr") { thr_[b] = value; return true; }
|
|
if (key == std::string(prefix[b]) + "ratio") { rat_[b] = std::max(1.0, value); return true; }
|
|
if (key == std::string(prefix[b]) + "makeup") {
|
|
mk_[b] = value; mkLin_[b] = std::pow(10.0, mk_[b] / 20.0); return true;
|
|
}
|
|
}
|
|
return false;
|
|
}
|
|
private:
|
|
struct BandFilter { Biquad bq; bool active = true; };
|
|
static void apply(const RBJ& r, BandFilter& f) {
|
|
f.bq.setCoeffs(r.b0, r.b1, r.b2, r.a1, r.a2);
|
|
f.active = true;
|
|
}
|
|
void rebuild() {
|
|
for (int b = 0; b < 3; ++b) for (int f = 0; f < 4; ++f) band_[b][f].active = false;
|
|
// LR4 cascade (two Butterworth Q=1/sqrt2 biquads per octave): LP^2 + HP^2
|
|
// sums flat 0dB at every frequency (phase 0), so 3-band split is transparent.
|
|
const RBJ lp1 = rbjLowpass(lfCross_, 0.7071, sr_), hp1 = rbjHighpass(lfCross_, 0.7071, sr_);
|
|
const RBJ lp2 = rbjLowpass(hfCross_, 0.7071, sr_), hp2 = rbjHighpass(hfCross_, 0.7071, sr_);
|
|
apply(lp1, band_[0][0]); apply(lp1, band_[0][1]); // low = LP(f1)^2
|
|
apply(hp1, band_[1][0]); apply(hp1, band_[1][1]);
|
|
apply(lp2, band_[1][2]); apply(lp2, band_[1][3]); // mid = HP(f1)^2 * LP(f2)^2
|
|
apply(hp2, band_[2][0]); apply(hp2, band_[2][1]); // high = HP(f2)^2
|
|
}
|
|
double sr_, rel_;
|
|
double lfCross_ = 200.0, hfCross_ = 4000.0;
|
|
double thr_[3] = {-24, -24, -24}, rat_[3] = {3, 3, 3};
|
|
double mk_[3] = {0, 0, 0}, mkLin_[3] = {1, 1, 1};
|
|
double env_[3][2] = {{0, 0}, {0, 0}, {0, 0}};
|
|
BandFilter band_[3][4] = {};
|
|
};
|
|
|
|
// ── De-esser: detector highpass @freq (sibilance 5-8kHz) → envelope →
|
|
// gain reduction (ratio = % max reduction) áp full band + makeup. Gap 10.
|
|
class DeEssFx : public BuiltinFx {
|
|
public:
|
|
explicit DeEssFx(const json_object_s* params, double sr) : sr_(sr) {
|
|
if (params) {
|
|
threshold_ = memberNumber(params, "threshold", -30.0);
|
|
ratio_ = std::max(0.0, std::min(100.0, memberNumber(params, "ratio", 40.0)));
|
|
freq_ = std::max(2000.0, std::min(12000.0, memberNumber(params, "freq", 6000.0)));
|
|
makeupDb_ = memberNumber(params, "makeup", 0.0);
|
|
}
|
|
rel_ = std::exp(-1.0 / (sr_ * 0.15));
|
|
makeup_ = std::pow(10.0, makeupDb_ / 20.0);
|
|
rebuild();
|
|
}
|
|
void process(float* L, float* R, uint32_t n) override {
|
|
const uint32_t block = 256;
|
|
float* chans[2] = {L, R};
|
|
for (int c = 0; c < 2; ++c) {
|
|
float* x = chans[c];
|
|
double env = env_[c];
|
|
for (uint32_t pos = 0; pos < n; pos += block) {
|
|
const uint32_t nb = std::min<uint32_t>(block, n - pos);
|
|
float peak = 0.f;
|
|
for (uint32_t i = 0; i < nb; ++i) {
|
|
const double d = hp_.step(c, x[pos + i]);
|
|
peak = std::max(peak, (float)std::fabs(d));
|
|
}
|
|
env = std::max((double)peak, env * rel_);
|
|
float g = (float)makeup_;
|
|
if (env > 1e-9) {
|
|
const double db = 20.0 * std::log10(env);
|
|
const double over = db - threshold_;
|
|
if (over > 0.0) {
|
|
const double gdb = -over * (ratio_ / 100.0);
|
|
g = (float)(std::pow(10.0, gdb / 20.0) * makeup_);
|
|
}
|
|
}
|
|
for (uint32_t i = 0; i < nb; ++i) x[pos + i] *= g;
|
|
}
|
|
env_[c] = env;
|
|
}
|
|
}
|
|
bool setParam(const std::string& key, double value) override {
|
|
if (key == "threshold") { threshold_ = value; return true; }
|
|
if (key == "ratio") { ratio_ = std::max(0.0, std::min(100.0, value)); return true; }
|
|
if (key == "makeup") { makeupDb_ = value; makeup_ = std::pow(10.0, makeupDb_ / 20.0); return true; }
|
|
if (key == "freq") { freq_ = std::max(2000.0, std::min(12000.0, value)); rebuild(); return true; }
|
|
return false;
|
|
}
|
|
private:
|
|
void rebuild() {
|
|
const RBJ r = rbjHighpass(freq_, 0.7, sr_);
|
|
hp_.setCoeffs(r.b0, r.b1, r.b2, r.a1, r.a2);
|
|
}
|
|
double sr_, threshold_ = -30.0, ratio_ = 40.0, freq_ = 6000.0, makeupDb_ = 0.0;
|
|
double rel_, makeup_ = 1.0;
|
|
double env_[2] = {0, 0};
|
|
Biquad hp_;
|
|
};
|
|
|
|
} // namespace
|
|
|
|
// ── BuiltinFxChain ──────────────────────────────────────────────────────────
|
|
void BuiltinFxChain::add(std::unique_ptr<BuiltinFx> fx, bool bypass) {
|
|
entries_.push_back(Entry{std::move(fx), bypass});
|
|
}
|
|
void BuiltinFxChain::process(float* L, float* R, uint32_t n) {
|
|
for (auto& e : entries_) {
|
|
if (e.bypass || !e.fx) continue;
|
|
e.fx->process(L, R, n);
|
|
}
|
|
}
|
|
bool BuiltinFxChain::setParam(int slot, const std::string& key, double value) {
|
|
if (slot < 0 || (size_t)slot >= entries_.size()) return false;
|
|
auto& e = entries_[(size_t)slot];
|
|
return e.fx && e.fx->setParam(key, value);
|
|
}
|
|
|
|
std::unique_ptr<BuiltinFx> createBuiltinFx(const std::string& id,
|
|
const json_object_s* params,
|
|
double sampleRate) {
|
|
if (id == "eq") return std::make_unique<Eq4Fx>(params, sampleRate);
|
|
if (id == "eqpro") return std::make_unique<EqProFx>(params, sampleRate);
|
|
if (id == "compressor") return std::make_unique<CompressorFx>(params, sampleRate);
|
|
if (id == "limiter") return std::make_unique<LimiterFx>(params, sampleRate);
|
|
if (id == "exciter") return std::make_unique<ExciterFx>(params, sampleRate);
|
|
if (id == "rebalance") return std::make_unique<RebalanceFx>(params);
|
|
if (id == "imager") return std::make_unique<ImagerFx>(params, sampleRate);
|
|
if (id == "maximizer") return std::make_unique<MaximizerFx>(params, sampleRate);
|
|
if (id == "multiband") return std::make_unique<MultibandFx>(params, sampleRate);
|
|
if (id == "deesser") return std::make_unique<DeEssFx>(params, sampleRate);
|
|
return nullptr; // gain/normalize = legacy, xử lý riêng ở RenderFxJob
|
|
}
|