Merge branch 'main' of https://github.com/tidalcycles/strudel
This commit is contained in:
commit
8710cd446b
7 changed files with 292 additions and 7121 deletions
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@ -430,6 +430,17 @@ export const { crush } = registerControl('crush');
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*/
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export const { coarse } = registerControl('coarse');
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/**
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* filter overdrive for supported filter types
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*
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* @name drive
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* @param {number | Pattern} amount
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* @example
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* note("{f g g c d a a#}%16".sub(17)).s("supersaw").lpenv(8).lpf(150).lpq(.8).ftype('ladder').drive("<.5 4>")
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*
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*/
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export const { drive } = registerControl('drive');
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/**
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* Allows you to set the output channels on the interface
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*
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@ -742,15 +753,17 @@ export const { hprelease, hpr } = registerControl('hprelease', 'hpr');
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*/
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export const { bprelease, bpr } = registerControl('bprelease', 'bpr');
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/**
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* Sets the filter type. The 24db filter is more aggressive. More types might be added in the future.
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* Sets the filter type. The ladder filter is more aggressive. More types might be added in the future.
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* @name ftype
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* @param {number | Pattern} type 12db (default) or 24db
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* @param {number | Pattern} type 12db (0), ladder (1), or 24db (2)
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* @example
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* note("c2 e2 f2 g2")
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* note("{f g g c d a a#}%8").s("sawtooth").lpenv(4).lpf(500).ftype("<0 1 2>").lpq(1)
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* @example
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* note("c f g g a c d4").fast(2)
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* .sound('sawtooth')
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* .lpf(500)
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* .bpenv(4)
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* .ftype("12db 24db")
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* .lpf(200).fanchor(0)
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* .lpenv(3).lpq(1)
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* .ftype("<ladder 12db 24db>")
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*/
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export const { ftype } = registerControl('ftype');
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export const { fanchor } = registerControl('fanchor');
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@ -14,6 +14,15 @@ const getSlope = (y1, y2, x1, x2) => {
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}
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return (y2 - y1) / (x2 - x1);
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};
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export function getWorklet(ac, processor, params, config) {
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const node = new AudioWorkletNode(ac, processor, config);
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Object.entries(params).forEach(([key, value]) => {
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node.parameters.get(key).value = value;
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});
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return node;
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}
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export const getParamADSR = (
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param,
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attack,
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@ -103,14 +112,22 @@ export const getADSRValues = (params, curve = 'linear', defaultValues) => {
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return [Math.max(a ?? 0, envmin), Math.max(d ?? 0, envmin), Math.min(sustain, envmax), Math.max(r ?? 0, releaseMin)];
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};
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export function createFilter(context, type, frequency, Q, att, dec, sus, rel, fenv, start, end, fanchor) {
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export function createFilter(context, type, frequency, Q, att, dec, sus, rel, fenv, start, end, fanchor, model, drive) {
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const curve = 'exponential';
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const [attack, decay, sustain, release] = getADSRValues([att, dec, sus, rel], curve, [0.005, 0.14, 0, 0.1]);
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const filter = context.createBiquadFilter();
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let filter;
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let frequencyParam;
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if (model === 'ladder') {
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filter = getWorklet(context, 'ladder-processor', { frequency, q: Q, drive });
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frequencyParam = filter.parameters.get('frequency');
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} else {
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filter = context.createBiquadFilter();
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filter.type = type;
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filter.Q.value = Q;
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filter.frequency.value = frequency;
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frequencyParam = filter.frequency;
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}
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filter.type = type;
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filter.Q.value = Q;
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filter.frequency.value = frequency;
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// envelope is active when any of these values is set
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const hasEnvelope = att ?? dec ?? sus ?? rel ?? fenv;
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// Apply ADSR to filter frequency
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@ -122,7 +139,7 @@ export function createFilter(context, type, frequency, Q, att, dec, sus, rel, fe
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let min = clamp(2 ** -offset * frequency, 0, 20000);
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let max = clamp(2 ** (fenvAbs - offset) * frequency, 0, 20000);
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if (fenv < 0) [min, max] = [max, min];
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getParamADSR(filter.frequency, attack, decay, sustain, release, min, max, start, end, curve);
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getParamADSR(frequencyParam, attack, decay, sustain, release, min, max, start, end, curve);
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return filter;
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}
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return filter;
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@ -7,9 +7,9 @@ This program is free software: you can redistribute it and/or modify it under th
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import './feedbackdelay.mjs';
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import './reverb.mjs';
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import './vowel.mjs';
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import { clamp, nanFallback } from './util.mjs';
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import { clamp, nanFallback, _mod } from './util.mjs';
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import workletsUrl from './worklets.mjs?url';
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import { createFilter, gainNode, getCompressor } from './helpers.mjs';
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import { createFilter, gainNode, getCompressor, getWorklet } from './helpers.mjs';
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import { map } from 'nanostores';
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import { logger } from './logger.mjs';
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import { loadBuffer } from './sampler.mjs';
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@ -50,14 +50,6 @@ function loadWorklets() {
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return workletsLoading;
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}
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export function getWorklet(ac, processor, params, config) {
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const node = new AudioWorkletNode(ac, processor, config);
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Object.entries(params).forEach(([key, value]) => {
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node.parameters.get(key).value = value;
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});
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return node;
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}
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// this function should be called on first user interaction (to avoid console warning)
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export async function initAudio(options = {}) {
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const { disableWorklets = false } = options;
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@ -186,10 +178,14 @@ function getPhaser(orbit, t, speed = 1, depth = 0.5, centerFrequency = 1000, swe
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return filterChain[filterChain.length - 1];
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}
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function getFilterType(ftype) {
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ftype = ftype ?? 0;
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const filterTypes = ['12db', 'ladder', '24db'];
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return typeof ftype === 'number' ? filterTypes[Math.floor(_mod(ftype, filterTypes.length))] : ftype;
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}
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let reverbs = {};
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let hasChanged = (now, before) => now !== undefined && now !== before;
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function getReverb(orbit, duration, fade, lp, dim, ir) {
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// If no reverb has been created for a given orbit, create one
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if (!reverbs[orbit]) {
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@ -288,8 +284,9 @@ export const superdough = async (value, t, hapDuration) => {
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postgain = 1,
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density = 0.03,
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// filters
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ftype = '12db',
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fanchor = 0.5,
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drive = 0.69,
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// low pass
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cutoff,
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lpenv,
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@ -394,6 +391,8 @@ export const superdough = async (value, t, hapDuration) => {
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// gain stage
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chain.push(gainNode(gain));
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//filter
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const ftype = getFilterType(value.ftype);
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if (cutoff !== undefined) {
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let lp = () =>
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createFilter(
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@ -409,6 +408,8 @@ export const superdough = async (value, t, hapDuration) => {
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t,
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t + hapDuration,
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fanchor,
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ftype,
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drive,
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);
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chain.push(lp());
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if (ftype === '24db') {
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@ -1,5 +1,5 @@
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import { clamp, midiToFreq, noteToMidi } from './util.mjs';
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import { registerSound, getAudioContext, getWorklet } from './superdough.mjs';
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import { registerSound, getAudioContext } from './superdough.mjs';
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import {
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applyFM,
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gainNode,
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@ -8,6 +8,7 @@ import {
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getPitchEnvelope,
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getVibratoOscillator,
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webAudioTimeout,
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getWorklet,
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} from './helpers.mjs';
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import { getNoiseMix, getNoiseOscillator } from './noise.mjs';
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@ -1,6 +1,6 @@
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// coarse, crush, and shape processors adapted from dktr0's webdirt: https://github.com/dktr0/WebDirt/blob/5ce3d698362c54d6e1b68acc47eb2955ac62c793/dist/AudioWorklets.js
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// LICENSE GNU General Public License v3.0 see https://github.com/dktr0/WebDirt/blob/main/LICENSE
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import { clamp } from './util.mjs';
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const blockSize = 128;
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class CoarseProcessor extends AudioWorkletProcessor {
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static get parameterDescriptors() {
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@ -106,6 +106,77 @@ class ShapeProcessor extends AudioWorkletProcessor {
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}
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registerProcessor('shape-processor', ShapeProcessor);
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function fast_tanh(x) {
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const x2 = x * x;
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return (x * (27.0 + x2)) / (27.0 + 9.0 * x2);
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}
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const _PI = 3.14159265359;
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//adapted from https://github.com/TheBouteillacBear/webaudioworklet-wasm?tab=MIT-1-ov-file
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class LadderProcessor extends AudioWorkletProcessor {
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static get parameterDescriptors() {
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return [
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{ name: 'frequency', defaultValue: 500 },
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{ name: 'q', defaultValue: 1 },
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{ name: 'drive', defaultValue: 0.69 },
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];
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}
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constructor() {
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super();
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this.started = false;
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this.p0 = [0, 0];
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this.p1 = [0, 0];
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this.p2 = [0, 0];
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this.p3 = [0, 0];
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this.p32 = [0, 0];
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this.p33 = [0, 0];
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this.p34 = [0, 0];
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}
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process(inputs, outputs, parameters) {
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const input = inputs[0];
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const output = outputs[0];
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const hasInput = !(input[0] === undefined);
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if (this.started && !hasInput) {
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return false;
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}
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this.started = hasInput;
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const resonance = parameters.q[0];
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const drive = clamp(Math.exp(parameters.drive[0]), 0.1, 2000);
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let cutoff = parameters.frequency[0];
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// eslint-disable-next-line no-undef
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cutoff = (cutoff * 2 * _PI) / sampleRate;
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cutoff = cutoff > 1 ? 1 : cutoff;
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const k = Math.min(8, resonance * 0.4);
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// drive makeup * resonance volume loss makeup
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let makeupgain = (1 / drive) * Math.min(1.75, 1 + k);
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for (let n = 0; n < blockSize; n++) {
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for (let i = 0; i < input.length; i++) {
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const out = this.p3[i] * 0.360891 + this.p32[i] * 0.41729 + this.p33[i] * 0.177896 + this.p34[i] * 0.0439725;
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this.p34[i] = this.p33[i];
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this.p33[i] = this.p32[i];
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this.p32[i] = this.p3[i];
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this.p0[i] += (fast_tanh(input[i][n] * drive - k * out) - fast_tanh(this.p0[i])) * cutoff;
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this.p1[i] += (fast_tanh(this.p0[i]) - fast_tanh(this.p1[i])) * cutoff;
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this.p2[i] += (fast_tanh(this.p1[i]) - fast_tanh(this.p2[i])) * cutoff;
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this.p3[i] += (fast_tanh(this.p2[i]) - fast_tanh(this.p3[i])) * cutoff;
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output[i][n] = out * makeupgain;
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}
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}
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return true;
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}
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}
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registerProcessor('ladder-processor', LadderProcessor);
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class DistortProcessor extends AudioWorkletProcessor {
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static get parameterDescriptors() {
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return [
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