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Aria 2025-11-23 20:58:28 -06:00
parent 020a6bc75f
commit 68840de188
2 changed files with 25 additions and 7 deletions
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19
packages/superdough/superdough.mjs
View file

@ -451,6 +451,9 @@ export const superdough = async (value, t, hapDuration, cps = 0.5, cycle = 0.5)
compressorKnee, compressorKnee,
compressorAttack, compressorAttack,
compressorRelease, compressorRelease,
transient,
transsustain,
transattack,
} = value; } = value;
delaytime = delaytime ?? cycleToSeconds(delaysync, cps); delaytime = delaytime ?? cycleToSeconds(delaysync, cps);
@ -532,6 +535,22 @@ export const superdough = async (value, t, hapDuration, cps = 0.5, cycle = 0.5)
chain.push(sourceNode); chain.push(sourceNode);
stretch !== undefined && chain.push(getWorklet(ac, 'phase-vocoder-processor', { pitchFactor: stretch })); stretch !== undefined && chain.push(getWorklet(ac, 'phase-vocoder-processor', { pitchFactor: stretch }));
transient !== undefined &&
chain.push(
getWorklet(
ac,
'transient-processor',
{},
{
processorOptions: {
attack: transient,
sustain: transsustain,
attackTime: transattack,
},
},
),
);
// gain stage // gain stage
chain.push(gainNode(gain)); chain.push(gainNode(gain));

13
packages/superdough/worklets.mjs
View file

@ -11,7 +11,7 @@ const PI = Math.PI;
const TWO_PI = 2 * PI; const TWO_PI = 2 * PI;
const INVSR = 1 / sampleRate; const INVSR = 1 / sampleRate;
const timeToCoeff = (t) => Math.exp(-INVSR / t); const timeToCoeff = (t) => 1 - Math.exp(-INVSR / t);
const dbToLin = (db) => Math.pow(10, db / 20); const dbToLin = (db) => Math.pow(10, db / 20);
const clamp = (num, min, max) => Math.min(Math.max(num, min), max); const clamp = (num, min, max) => Math.min(Math.max(num, min), max);
@ -1420,17 +1420,16 @@ class TransientProcessor extends AudioWorkletProcessor {
if (!input || !output) { if (!input || !output) {
return true; return true;
} }
const channels = output.length; const channels = input.length;
this.attackEnv ??= new Float32Array(channels); this.attackEnv ??= new Float32Array(channels);
this.sustainEnv ??= new Float32Array(channels); this.sustainEnv ??= new Float32Array(channels);
let avgGain = this.avgGain; let avgGain = this.avgGain;
for (let ch = 0; ch < channels; ch++) { for (let ch = 0; ch < channels; ch++) {
const inCh = input[ch];
const outCh = output[ch];
let attEnv = this.attackEnv[ch]; let attEnv = this.attackEnv[ch];
let susEnv = this.sustainEnv[ch]; let susEnv = this.sustainEnv[ch];
for (let i = 0; i < blockSize; i++) { for (let n = 0; n < blockSize; n++) {
const x = Math.abs(inCh[i]); const sample = input[ch][n];
const x = Math.abs(sample);
attEnv = lerp(attEnv, x, this.attackCoeff); attEnv = lerp(attEnv, x, this.attackCoeff);
susEnv = lerp(susEnv, x, this.sustainCoeff); susEnv = lerp(susEnv, x, this.sustainCoeff);
const peakiness = clamp((this.scaling * (attEnv - susEnv)) / (susEnv + 1e-6), -1.5, 1.5); const peakiness = clamp((this.scaling * (attEnv - susEnv)) / (susEnv + 1e-6), -1.5, 1.5);
@ -1442,7 +1441,7 @@ class TransientProcessor extends AudioWorkletProcessor {
avgGain = lerp(avgGain, gain, this.gainCoeff); avgGain = lerp(avgGain, gain, this.gainCoeff);
const makeup = avgGain > 1e-3 ? 1 / avgGain : 1; const makeup = avgGain > 1e-3 ? 1 / avgGain : 1;
const wet = x * gain * makeup; const wet = x * gain * makeup;
outCh[i] = lerp(x, wet, this.mix); output[ch][n] = lerp(sample, wet, this.mix);
} }
this.attackEnv[ch] = attEnv; this.attackEnv[ch] = attEnv;
this.sustainEnv[ch] = susEnv; this.sustainEnv[ch] = susEnv;