prettier + other stuff
This commit is contained in:
152
tuner.js
152
tuner.js
@@ -18,14 +18,16 @@ const NOTE_NAMES = [
|
||||
// We don't care about fundamentals above 4kHz, so setting a lower sample rate
|
||||
// gives us finer-grained FFT buckets
|
||||
const TARGET_SAMPLE_RATE = 8000;
|
||||
const TIMEOUT = 120; // 2-minute screen timeout
|
||||
const NOISE_THRESHOLD = -60; // dBFS threshold for valid pitch detection
|
||||
const SMOOTHING_FACTOR = 0.8; // Smoothing factor for frequency stability
|
||||
const MAX_HISTORY = 5; // Moving median filter window size
|
||||
|
||||
// 2 minute screen timeout
|
||||
const TIMEOUT = 120;
|
||||
let dom_frequency, dom_rate, dom_note, dom_tune;
|
||||
let lastFrequency = null;
|
||||
const history = [];
|
||||
|
||||
let dom_frequency;
|
||||
let dom_rate;
|
||||
let dom_note;
|
||||
let dom_tune;
|
||||
let wakeLock = null;
|
||||
|
||||
const setup = () => {
|
||||
document.body.onclick = undefined;
|
||||
@@ -38,49 +40,59 @@ const setup = () => {
|
||||
|
||||
if (navigator?.mediaDevices?.getUserMedia) {
|
||||
navigator.mediaDevices
|
||||
.getUserMedia({
|
||||
audio: true,
|
||||
})
|
||||
.then(handleStream, (err) => {
|
||||
console.error("Error calling getUserMedia", err);
|
||||
})
|
||||
.then(aquireWakeLock);
|
||||
.getUserMedia({ audio: true })
|
||||
.then(handleStream)
|
||||
.then(aquireWakeLock)
|
||||
.catch((err) => console.error("Error getting user media:", err));
|
||||
}
|
||||
};
|
||||
|
||||
const aquireWakeLock = ({ interval, stream }) => {
|
||||
// Function to request wake lock
|
||||
const requestWakeLock = async () => {
|
||||
try {
|
||||
wakeLock = await navigator.wakeLock.request("screen");
|
||||
wakeLock.addEventListener("release", () =>
|
||||
console.log("Wake Lock released")
|
||||
);
|
||||
} catch (err) {
|
||||
console.error("Failed to acquire wake lock:", err);
|
||||
}
|
||||
};
|
||||
|
||||
// Function to acquire wake lock and re-request if lost
|
||||
const aquireWakeLock = async ({ interval, stream }) => {
|
||||
if (navigator?.wakeLock?.request) {
|
||||
try {
|
||||
navigator.wakeLock.request("screen").then(
|
||||
(wakeLock) =>
|
||||
setTimeout(() => {
|
||||
clearInterval(interval);
|
||||
wakeLock.release();
|
||||
stream.getTracks().forEach((track) => track.stop());
|
||||
dom_note.innerHTML = "Tap to Start";
|
||||
document.body.onclick = setup;
|
||||
dom_tune.innerHTML = "";
|
||||
dom_frequency.innerHTML = "";
|
||||
}, TIMEOUT * 1000),
|
||||
(err) => console.error("Error requesting wakeLock", err)
|
||||
);
|
||||
} catch (err) {}
|
||||
await requestWakeLock();
|
||||
|
||||
document.addEventListener("visibilitychange", async () => {
|
||||
if (wakeLock !== null && document.visibilityState === "visible") {
|
||||
await requestWakeLock();
|
||||
}
|
||||
});
|
||||
|
||||
setTimeout(() => {
|
||||
clearInterval(interval);
|
||||
if (wakeLock) wakeLock.release();
|
||||
stream.getTracks().forEach((track) => track.stop());
|
||||
dom_note.innerHTML = "Tap to Start";
|
||||
document.body.onclick = setup;
|
||||
dom_tune.innerHTML = "";
|
||||
dom_frequency.innerHTML = "";
|
||||
}, TIMEOUT * 1000);
|
||||
}
|
||||
};
|
||||
|
||||
// Handle incoming audio stream
|
||||
const handleStream = (stream) => {
|
||||
const audioContext = new AudioContext({
|
||||
sampleRate: TARGET_SAMPLE_RATE,
|
||||
});
|
||||
|
||||
const audioContext = new AudioContext({ sampleRate: TARGET_SAMPLE_RATE });
|
||||
const analyser = audioContext.createAnalyser();
|
||||
analyser.fftSize = 32768;
|
||||
analyser.minDecibels = -90;
|
||||
analyser.maxDecibels = -10;
|
||||
analyser.smoothingTimeConstant = 0;
|
||||
|
||||
const bufferLength = analyser.frequencyBinCount;
|
||||
const data = new Uint8Array(bufferLength);
|
||||
|
||||
const source = audioContext.createMediaStreamSource(stream);
|
||||
source.connect(analyser);
|
||||
|
||||
@@ -89,9 +101,9 @@ const handleStream = (stream) => {
|
||||
return { interval, stream };
|
||||
};
|
||||
|
||||
// Tuning function
|
||||
const tune = (analyser, data) => () => {
|
||||
analyser.getByteFrequencyData(data);
|
||||
|
||||
const rate = analyser.context.sampleRate;
|
||||
dom_rate.innerText = rate / 1000;
|
||||
|
||||
@@ -99,26 +111,53 @@ const tune = (analyser, data) => () => {
|
||||
let max = 0;
|
||||
let maxBucket = -1;
|
||||
|
||||
// Use harmonic sum instead of product for better fundamental detection
|
||||
data.forEach((value, bucket) => {
|
||||
let j = 2;
|
||||
let product = value;
|
||||
while (bucket > 1 && j * bucket < data.length && j < 8) {
|
||||
product *= data[j * bucket];
|
||||
j += 1;
|
||||
let sum = value;
|
||||
for (let j = 2; j < 8 && j * bucket < data.length; j++) {
|
||||
sum += data[j * bucket]; // Sum harmonics instead of multiplying
|
||||
}
|
||||
const geoMean = Math.pow(product, 1 / (j - 1));
|
||||
|
||||
if (geoMean > max) {
|
||||
max = geoMean;
|
||||
if (sum > max) {
|
||||
max = sum;
|
||||
maxBucket = bucket;
|
||||
}
|
||||
});
|
||||
|
||||
if (maxBucket === -1) {
|
||||
return;
|
||||
if (maxBucket === -1) return;
|
||||
|
||||
// Ignore weak signals (noise threshold)
|
||||
let maxDb = 20 * Math.log10(max);
|
||||
if (maxDb < NOISE_THRESHOLD) return;
|
||||
|
||||
// Quadratic Peak Interpolation
|
||||
let delta = 0;
|
||||
if (maxBucket > 0 && maxBucket < data.length - 1) {
|
||||
let left = data[maxBucket - 1];
|
||||
let center = data[maxBucket];
|
||||
let right = data[maxBucket + 1];
|
||||
|
||||
delta = (0.5 * (right - left)) / (2 * center - left - right);
|
||||
}
|
||||
|
||||
const frequency = maxBucket * bucketWidth;
|
||||
let frequency = (maxBucket + delta) * bucketWidth;
|
||||
|
||||
// Apply exponential smoothing
|
||||
if (lastFrequency !== null) {
|
||||
frequency =
|
||||
SMOOTHING_FACTOR * lastFrequency + (1 - SMOOTHING_FACTOR) * frequency;
|
||||
}
|
||||
lastFrequency = frequency;
|
||||
|
||||
// Moving Median Filter
|
||||
history.push(frequency);
|
||||
if (history.length > MAX_HISTORY) {
|
||||
history.shift();
|
||||
}
|
||||
frequency = history.slice().sort((a, b) => a - b)[
|
||||
Math.floor(history.length / 2)
|
||||
];
|
||||
|
||||
dom_frequency.innerText = `${Number.parseFloat(frequency).toFixed(2)} Hz`;
|
||||
|
||||
const semitones = frequencyToSemitones(frequency);
|
||||
@@ -129,36 +168,31 @@ const tune = (analyser, data) => () => {
|
||||
document.body.className = semitonesToClassname(semitones, margin);
|
||||
};
|
||||
|
||||
// Converts frequency to MIDI semitone number
|
||||
const frequencyToSemitones = (frequency) =>
|
||||
12 * Math.log2(frequency / 440) + 69;
|
||||
|
||||
// Converts semitones to a note name
|
||||
const semitonesToNote = (semitones) => {
|
||||
const rounded = Math.round(semitones - 69);
|
||||
|
||||
const index = rounded >= 0 ? rounded % 12 : (12 + (rounded % 12)) % 12;
|
||||
|
||||
return NOTE_NAMES[index];
|
||||
let noteIndex = Math.round(semitones) % 12;
|
||||
if (noteIndex < 0) noteIndex += 12;
|
||||
return NOTE_NAMES[noteIndex];
|
||||
};
|
||||
|
||||
// Calculates tuning error in cents
|
||||
const errorPercentage = (semitones, margin) => {
|
||||
const rounded = Math.round(semitones);
|
||||
|
||||
const cents = Math.round((semitones - rounded) * 100);
|
||||
const accuracy = Number.parseFloat(margin * 100).toFixed(1);
|
||||
const sign = cents > 0 ? "+" : "";
|
||||
|
||||
return `${sign}${cents} cents ± ${accuracy}`;
|
||||
};
|
||||
|
||||
// Determines if the note is flat or sharp
|
||||
const semitonesToClassname = (semitones, margin) => {
|
||||
const rounded = Math.round(semitones);
|
||||
const error = Math.abs(semitones - rounded);
|
||||
|
||||
const ok = margin > 0.05 ? margin : 0.05;
|
||||
|
||||
if (error <= ok) {
|
||||
return "";
|
||||
}
|
||||
|
||||
if (error <= ok) return "";
|
||||
return Math.round(semitones) > semitones ? "flat" : "sharp";
|
||||
};
|
||||
|
||||
Reference in New Issue
Block a user