Files
JamBuddy/src/components/AudioCapture.jsx
T
2026-03-14 20:29:48 +00:00

275 lines
12 KiB
React

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 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, onOnset, onWaveform, isListening, minClarity = 0.80, minVolume = 0.01, onPermissionError, audioDeviceId = null }) {
const audioCtxRef = useRef(null)
const timeBufRef = useRef(null)
const freqBufRef = useRef(null)
const detectorRef = useRef(null)
const rafRef = useRef(null)
const streamRef = useRef(null)
const activeRef = useRef(false) // guards against stale tick callbacks
// All callbacks and thresholds read via refs — so start/stop never need to recreate
const onNoteRef = useRef(onNote)
const onChromaRef = useRef(onChroma)
const onOnsetRef = useRef(onOnset)
const onWaveformRef = useRef(onWaveform)
const onPermissionErrorRef = useRef(onPermissionError)
const minClarityRef = useRef(minClarity)
const minVolumeRef = useRef(minVolume)
const smoothRmsRef = useRef(0)
const lastOnsetRef = useRef(0)
const specPeakRef = useRef(null) // peak-hold spectrum for display lingering
useEffect(() => { onNoteRef.current = onNote }, [onNote])
useEffect(() => { onChromaRef.current = onChroma }, [onChroma])
useEffect(() => { onOnsetRef.current = onOnset }, [onOnset])
useEffect(() => { onWaveformRef.current = onWaveform }, [onWaveform])
useEffect(() => { onPermissionErrorRef.current = onPermissionError }, [onPermissionError])
useEffect(() => { minClarityRef.current = minClarity }, [minClarity])
useEffect(() => { minVolumeRef.current = minVolume }, [minVolume])
const stop = useCallback(() => {
activeRef.current = false
specPeakRef.current = null
if (rafRef.current) { cancelAnimationFrame(rafRef.current); rafRef.current = null }
if (streamRef.current) { streamRef.current.getTracks().forEach(t => t.stop()); streamRef.current = null }
if (audioCtxRef.current) { audioCtxRef.current.close(); audioCtxRef.current = null }
}, [])
const start = useCallback(async () => {
stop()
let stream
try {
// Helpful debug: list available media devices before requesting permission
try {
if (navigator.mediaDevices && navigator.mediaDevices.enumerateDevices) {
const devices = await navigator.mediaDevices.enumerateDevices()
const audioIns = devices.filter(d => d.kind === 'audioinput')
console.log('Audio inputs available:', audioIns)
}
} catch (e) {
console.warn('enumerateDevices failed', e)
}
const constraints = audioDeviceId
? { audio: { deviceId: { exact: audioDeviceId } } }
: { audio: true }
console.log('Requesting getUserMedia with constraints:', constraints)
stream = await navigator.mediaDevices.getUserMedia(constraints)
} catch (err) {
// If permission denied or other error, surface extra diagnostics when possible
console.warn('getUserMedia failed', err)
try {
if (navigator.permissions && navigator.permissions.query) {
const p = await navigator.permissions.query({ name: 'microphone' })
console.log('microphone permission state:', p.state)
}
} catch (e) {
// ignore; not all environments support Permissions API for microphone
}
onPermissionErrorRef.current?.(err)
return
}
streamRef.current = stream
activeRef.current = true
smoothRmsRef.current = 0
lastOnsetRef.current = 0
const ctx = new AudioContext()
audioCtxRef.current = ctx
const source = ctx.createMediaStreamSource(stream)
// Debug: log the acquired audio tracks and labels/deviceIds
try {
const tracks = stream.getAudioTracks()
console.log('Acquired audio tracks:', tracks.map(t => ({ label: t.label, id: t.id, enabled: t.enabled, muted: t.muted })))
} catch (e) {
console.warn('Could not inspect stream tracks', e)
}
// Small analyser — pitch detection needs fast time-domain data
const pa = ctx.createAnalyser()
pa.fftSize = PITCH_FFT
pa.smoothingTimeConstant = 0.0
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 = 0.5 // reduced from 0.65 — clears faster between chords
source.connect(ca)
freqBufRef.current = new Float32Array(ca.frequencyBinCount)
function tick() {
if (!activeRef.current) return // stop() was called — bail immediately
const timeBuf = timeBufRef.current
pa.getFloatTimeDomainData(timeBuf)
const rms = Math.sqrt(timeBuf.reduce((s, v) => s + v * v, 0) / timeBuf.length)
// Onset detection — RMS spike significantly above smoothed baseline
const sr = smoothRmsRef.current
smoothRmsRef.current = 0.85 * sr + 0.15 * rms
const nowMs = performance.now()
if (rms > sr * 2.2 && rms > minVolumeRef.current * 1.5 && nowMs - lastOnsetRef.current > 120) {
lastOnsetRef.current = nowMs
onOnsetRef.current?.()
}
// Always fire waveform callback — downsample 4096 → 512 points + log-binned spectrum
if (onWaveformRef.current) {
const stride = 8 // 4096 / 8 = 512 points
const wave = new Float32Array(PITCH_FFT / stride)
for (let i = 0; i < wave.length; i++) wave[i] = timeBuf[i * stride]
// Log-binned frequency spectrum: 256 bins from 40 Hz → 4000 Hz
const LOG_BINS = 256
const F_MIN = 40, F_MAX = 4000
const binHz = ctx.sampleRate / ca.fftSize
const freqBuf = freqBufRef.current
ca.getFloatFrequencyData(freqBuf)
const spectrum = new Float32Array(LOG_BINS)
for (let b = 0; b < LOG_BINS; b++) {
const f = F_MIN * Math.pow(F_MAX / F_MIN, b / (LOG_BINS - 1))
const bin = Math.round(f / binHz)
if (bin < freqBuf.length) {
const db = freqBuf[bin]
spectrum[b] = db < NOISE_FLOOR ? 0 : Math.max(0, (db - NOISE_FLOOR) / (-NOISE_FLOOR))
}
}
// Peak-hold with exponential decay — spectrum rises instantly, falls slowly
if (!specPeakRef.current) specPeakRef.current = new Float32Array(LOG_BINS)
const peak = specPeakRef.current
for (let b = 0; b < LOG_BINS; b++) {
peak[b] = spectrum[b] > peak[b] ? spectrum[b] : peak[b] * 0.92
}
let detectedFreq = null, detectedNote = null
if (rms >= minVolumeRef.current) {
const [f, c] = detectorRef.current.findPitch(timeBuf, ctx.sampleRate)
if (c >= minClarityRef.current && f > 60 && f < 4200) {
detectedFreq = f
detectedNote = NOTES[((Math.round(12 * Math.log2(f / 440) + 69) % 12) + 12) % 12]
}
}
onWaveformRef.current({ wave, rms, detectedFreq, detectedNote, spectrum: peak })
}
if (rms >= minVolumeRef.current) {
const [freq, clarity] = detectorRef.current.findPitch(timeBuf, ctx.sampleRate)
if (clarity >= minClarityRef.current && freq > 60 && freq < 4200) {
const midi = Math.round(12 * Math.log2(freq / 440) + 69)
const pitchClass = ((midi % 12) + 12) % 12
onNoteRef.current({ noteName: NOTES[pitchClass], pitchClass, freq, midi, clarity })
}
if (onChromaRef.current) {
const freqBuf = freqBufRef.current
ca.getFloatFrequencyData(freqBuf)
onChromaRef.current(
computeChroma(freqBuf, ctx.sampleRate, ca.fftSize),
detectBassPC(freqBuf, ctx.sampleRate, ca.fftSize)
)
}
}
rafRef.current = requestAnimationFrame(tick)
}
tick()
}, [stop])
useEffect(() => {
if (isListening) start().catch(console.error)
else stop()
return stop
}, [isListening, start, stop])
return null
}