Public
Edited
Oct 1, 2023
1 fork
13 stars
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
// these setting values were derived using a 2013 macbook built-in microphone and playing music through the built-in speakers
settings = ({
// size
width: 900,
height: 425,
samples: 512, // number of frequency samples
frequency: { min: 10, max: 12500 }, // frequency range
frequencyBias: { min: 5, max: 50 }, // size of samples in hz, scaled by frequency
strokeWeight: { min: 3, max: 4 }, // thickness of each sample
scaling: { min: 3.25, max: 3.33 }, // multiply the value of each frequency sample by this weighted number
// fft
smoothing: { min: 0.7, max: 0.76, step: 0.05 }, // multiple FFT instances with different smoothing settings
bins: 2048, // fidelity of each FFT instance (must be power of 2)
history: Math.round(60 * 1.5), // number of frames to remember activity for scaling
useLowPass: false // filter-out lower-frequency sounds
})
Insert cell
Insert cell
function setup(p, p5, context) {
const { width, height, bins, useLowPass, smoothing, samples } = settings;
p.createCanvas(width, height);
p.colorMode(p.HSB, 360, 100, 100, 1.0);
p.textAlign(p.RIGHT, p.TOP);
context.audioIn = new p5.AudioIn();
context.audioIn.start();
if (useLowPass) {
context.lowPass = new p5.LowPass();
context.lowPass.disconnect();
context.audioIn.connect(context.lowPass);
}
//
context.ffts = [];
for (let s = smoothing.min; s <= smoothing.max; s += smoothing.step) {
let fft = new p5.FFT(s, bins);
fft.setInput(context.audioIn);
context.ffts.push(fft);
console.log({ smooth: s });
}
context.data = context.ffts.map(fft => Array(samples).fill(0));
context.maxs = Array(settings.history).fill(0);
//
console.log(context);
}
Insert cell
function update(p, p5, context) {
const { frequency, samples, scaling, history, frequencyBias } = settings;
const { ffts, data, maxs } = context;
p.getAudioContext().resume();
ffts.forEach(fft => fft.analyze());
let fr = (frequency.max - frequency.min) / samples / 2;
let m = 0;
ffts.forEach((fft, i) => {
data[i].forEach((x, i, a) => {
let f = p.map(i, 0, samples, frequency.min, frequency.max);
let fr = p.map(i, 0, samples, frequencyBias.min, frequencyBias.max);
let s = p.map(f, frequency.min, frequency.max, scaling.min, scaling.max);
let e = fft.getEnergy(f - fr, f + fr) ** s;
a[i] = e;
if (e > m) m = e;
});
});
data.forEach(d => normalize(d, true));
maxs[p.frameCount % history] = m;
context.current = m;
}
Insert cell
function draw(p, p5, context) {
const { strokeWeight: sw } = settings;
const { data, maxs, current } = context;
p.background(0);
const maxY = p.height / 2.25;
const a = 1 / data.length;
const r = current / max(maxs);
let pow = 1.25;
let powMax = p.pow(1, 1 / pow);
data.forEach(d => {
d.forEach((v, i) => {
let n = p.map(i, 0, d.length, 0, 1);
let pv = p.pow(n, 1 / pow);
let x = p.map(pv, 0, powMax, 5, p.width - 5);
//let x = p.map(i, 0, d.length, 5, p.width - 5);
let y1 = p.map(v, 0, 1, 0, maxY);
let y2 = r * y1;
let y = (y1 + y2) / 2;
let h = p.map(i, 0, d.length, 0, 360);
let s = 100;
let b = p.map(p.sqrt(v), 0, 1, 25, 100);
p.strokeWeight(p.map(r, 0, 1, sw.min, sw.max) + p.map(n, 0, 1, 1, 0));
p.stroke(h, s, b, a);
p.line(x, p.height / 2 + y, x, p.height / 2 - y);
});
});
p.noStroke();
p.fill(0, 0, 100);
p.text(`FPS: ${Math.round(p.frameRate())}`, p.width - 5, 5);
p.text(`LVL: ${Math.min(99, Math.round(100 * r))}`, p.width - 5, 15);
}
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more