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