167 lines
6.6 KiB
React
167 lines
6.6 KiB
React
import { useEffect, useRef, useCallback } from 'react'
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import { PitchDetector } from 'pitchy'
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import { NOTES } from '../lib/theory'
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// ─── Why two analysers? ───────────────────────────────────────────────────────
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//
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// The Web Audio FFT has linearly-spaced bins: bin width = sampleRate / fftSize.
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//
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// fftSize 4096 → ~10.8 Hz/bin (default we were using)
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// fftSize 16384 → ~2.7 Hz/bin (multi-rate chord analyser)
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//
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// On the low guitar strings the gap between adjacent semitones is only ~5-6 Hz.
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// At 10.8 Hz/bin we literally cannot separate A2 (110 Hz) from A#2 (116 Hz).
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// That is the single biggest source of wrong chord notes on the low strings.
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//
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// Solution: run a second, larger analyser just for chord/chroma detection.
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// The pitch analyser stays small (4096) so pitchy has a 90ms window — fast
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// enough for responsive pitch detection. The chord analyser uses 16384 (~370ms
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// window) — slower to respond but with 2.7 Hz bins that can cleanly separate
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// every semitone across the guitar's entire range.
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//
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// This is an approximation of the Constant-Q Transform (CQT) your friend
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// mentioned: CQT achieves log-spaced bins mathematically; we approximate it
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// by simply using a much larger FFT window.
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// ─────────────────────────────────────────────────────────────────────────────
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const PITCH_FFT = 4096 // ~90ms window — good temporal resolution for pitch
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const CHORD_FFT = 16384 // ~370ms window — 2.7 Hz/bin, separates low semitones
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const MIN_CLARITY = 0.80
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const MIN_VOLUME = 0.01
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const NOISE_FLOOR = -65 // dB
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// ─── Harmonic summation chroma ────────────────────────────────────────────────
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// Each FFT bin votes back toward lower fundamentals that could have generated
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// it as an overtone. This undoes the harmonic contamination that makes minor
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// chords look like major ones (the 5th harmonic of the root lands on the major
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// 3rd, which is NOT in the minor chord).
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const HARMONIC_WEIGHTS = [1.0, 0.5, 0.33, 0.25, 0.2] // h = 1…5
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function computeChroma(freqData, sampleRate, fftSize) {
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const chroma = new Float32Array(12)
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const binHz = sampleRate / fftSize
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const N = freqData.length
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for (let bin = 2; bin < N; bin++) {
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const freq = bin * binHz
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if (freq < 80 || freq > 4000) continue
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const db = freqData[bin]
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if (db < NOISE_FLOOR) continue
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const amp = Math.sqrt(Math.pow(10, db / 10)) // amplitude, not power
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for (let h = 1; h <= HARMONIC_WEIGHTS.length; h++) {
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const fundamental = freq / h
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if (fundamental < 40 || fundamental > 2000) continue
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const midi = 12 * Math.log2(fundamental / 440) + 69
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const pc = ((Math.round(midi) % 12) + 12) % 12
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chroma[pc] += amp * HARMONIC_WEIGHTS[h - 1]
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}
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}
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for (let i = 0; i < 12; i++) chroma[i] = Math.log1p(chroma[i])
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const max = Math.max(...chroma)
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if (max > 0) for (let i = 0; i < 12; i++) chroma[i] /= max
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return chroma
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}
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function detectBassPC(freqData, sampleRate, fftSize) {
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const binHz = sampleRate / fftSize
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let maxPower = 0, bestMidi = -1
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for (let bin = 2; bin < freqData.length; bin++) {
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const freq = bin * binHz
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if (freq < 40 || freq > 350) continue
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const db = freqData[bin]
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if (db < NOISE_FLOOR) continue
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const power = Math.pow(10, db / 10)
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if (power > maxPower) {
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maxPower = power
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bestMidi = Math.round(12 * Math.log2(freq / 440) + 69)
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}
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}
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if (bestMidi < 0) return null
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return ((bestMidi % 12) + 12) % 12
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}
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export default function AudioCapture({ onNote, onChroma, isListening }) {
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const audioCtxRef = useRef(null)
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const pitchAnalyser = useRef(null)
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const chordAnalyser = useRef(null)
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const timeBufRef = useRef(null)
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const freqBufRef = useRef(null)
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const detectorRef = useRef(null)
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const rafRef = useRef(null)
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const streamRef = useRef(null)
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const stop = useCallback(() => {
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if (rafRef.current) cancelAnimationFrame(rafRef.current)
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if (streamRef.current) streamRef.current.getTracks().forEach(t => t.stop())
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if (audioCtxRef.current) audioCtxRef.current.close()
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audioCtxRef.current = null
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}, [])
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const start = useCallback(async () => {
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stop()
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const stream = await navigator.mediaDevices.getUserMedia({ audio: true })
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streamRef.current = stream
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const ctx = new AudioContext()
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audioCtxRef.current = ctx
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const source = ctx.createMediaStreamSource(stream)
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// Small analyser — pitch detection needs fast time-domain data
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const pa = ctx.createAnalyser()
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pa.fftSize = PITCH_FFT
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pa.smoothingTimeConstant = 0.0 // no smoothing: pitchy needs clean waveform
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pitchAnalyser.current = pa
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source.connect(pa)
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timeBufRef.current = new Float32Array(pa.fftSize)
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detectorRef.current = PitchDetector.forFloat32Array(pa.fftSize)
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// Large analyser — chord detection needs fine frequency resolution
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const ca = ctx.createAnalyser()
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ca.fftSize = CHORD_FFT
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ca.smoothingTimeConstant = 0.65 // smooth over time for stable chord reading
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chordAnalyser.current = ca
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source.connect(ca)
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freqBufRef.current = new Float32Array(ca.frequencyBinCount)
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function tick() {
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const timeBuf = timeBufRef.current
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pa.getFloatTimeDomainData(timeBuf)
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const rms = Math.sqrt(timeBuf.reduce((s, v) => s + v * v, 0) / timeBuf.length)
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if (rms >= MIN_VOLUME) {
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// Pitch via McLeod (autocorrelation) — unaffected by FFT bin size
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const [freq, clarity] = detectorRef.current.findPitch(timeBuf, ctx.sampleRate)
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if (clarity >= MIN_CLARITY && freq > 60 && freq < 4200) {
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const midi = Math.round(12 * Math.log2(freq / 440) + 69)
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const pitchClass = ((midi % 12) + 12) % 12
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onNote({ noteName: NOTES[pitchClass], pitchClass, freq, midi, clarity })
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}
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// Chord chroma from the high-resolution FFT
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if (onChroma) {
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const freqBuf = freqBufRef.current
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ca.getFloatFrequencyData(freqBuf)
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onChroma(
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computeChroma(freqBuf, ctx.sampleRate, ca.fftSize),
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detectBassPC(freqBuf, ctx.sampleRate, ca.fftSize)
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)
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}
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}
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rafRef.current = requestAnimationFrame(tick)
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}
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tick()
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}, [onNote, onChroma, stop])
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useEffect(() => {
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if (isListening) start().catch(console.error)
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else stop()
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return stop
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}, [isListening, start, stop])
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return null
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}
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