mirror of
https://github.com/9x/sheetmusictrainer.git
synced 2026-11-04 22:33:54 +01:00
Overhaul pitch detection and note matching
- Pick detector per instrument range: ACF2PLUS (robust down to ~40 Hz) for normal instruments, YIN only for the whistle register. pitchfinder's YIN latches onto tau=2 (~20 kHz garbage) below ~100 Hz and for quiet input; the old fixed 4096 window masked this, the smaller window exposed it. - RMS-normalize analysis input for the YIN path only; ACF2PLUS keeps the raw signal so its internal unpitched gate rejects quiet decayed audio instead of amplifying noise into confident wrong pitches (tuner stuck on 'a note'). - Adaptive analysis window sized to the instrument's lowest note (~2 periods): half the latency, a quarter of the CPU for guitar/piano/voice; bass keeps the full window for E1. - Reject detections implausibly below the instrument floor (mains hum). - Clear stale pitch readings after 200 ms instead of keeping them forever. - Shared AudioEngine singleton for all playback (was: two AudioContexts); tracks audibility so the app stops hearing its own speaker (ear-training self-scoring) and gates matching plus display during playback. - MatchTracker: grace-period based note hold instead of reset-on-every-flicker (YIN flickers during attacks/decays; the old hard reset made the 50 ms threshold fire unreliably). - Display damping in the producer (EMA for cents/level, 3-frame note-name hysteresis); display components render directly without CSS transitions. - Regression tests: synthetic signals through the exact pipeline helpers (MatchTracker + pitchDetection test suites).
This commit is contained in:
84
src/audio/AudioEngine.ts
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84
src/audio/AudioEngine.ts
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@@ -0,0 +1,84 @@
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import { midiToFrequency } from '../music/NoteUtils';
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import { PLAYBACK_GATE_TAIL_MS } from '../AppConfig';
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/**
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* Create an AudioContext with a typed webkit fallback (older Safari).
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*/
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export function createAudioContext(): AudioContext {
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const Ctor =
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window.AudioContext ??
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(window as unknown as { webkitAudioContext: typeof AudioContext }).webkitAudioContext;
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return new Ctor({ latencyHint: 'interactive' });
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}
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/**
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* Shared audio playback engine (singleton).
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*
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* All speaker output goes through a single AudioContext (previously App and
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* useGameLogic each created their own via separate useAudioPlayer instances).
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* Playback is tracked so pitch detection can ignore the microphone while the
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* app is audible — otherwise the app hears its own reference notes through
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* the speaker and scores them as correct (ear-training feedback loop).
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*/
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class AudioEngine {
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private ctx: AudioContext | null = null;
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/** ctx.currentTime (seconds) until which output may still be audible, incl. gate tail */
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private audibleUntil = 0;
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private ensureContext(): AudioContext {
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if (!this.ctx) {
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this.ctx = createAudioContext();
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}
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if (this.ctx.state === 'suspended') {
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void this.ctx.resume();
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}
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return this.ctx;
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}
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playNote(midi: number, duration = 0.5, volume = 0.3): void {
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const ctx = this.ensureContext();
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const osc = ctx.createOscillator();
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const gainNode = ctx.createGain();
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osc.frequency.value = midiToFrequency(midi);
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// Triangle wave is often nicer than sine for music training
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osc.type = 'triangle';
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osc.connect(gainNode);
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gainNode.connect(ctx.destination);
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const now = ctx.currentTime;
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// Attack
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gainNode.gain.setValueAtTime(0, now);
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gainNode.gain.linearRampToValueAtTime(volume, now + 0.02);
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// Sustain -> Release
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gainNode.gain.exponentialRampToValueAtTime(0.001, now + duration);
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osc.start(now);
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osc.stop(now + duration + 0.1); // Stop slightly after fade out
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// The note decays to -60dB at `now + duration`; keep the mic gated for
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// an additional tail so room reverb / speaker bleed can't self-trigger.
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this.audibleUntil = Math.max(
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this.audibleUntil,
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now + duration + PLAYBACK_GATE_TAIL_MS / 1000
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);
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}
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/**
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* True while speaker output (plus gate tail) may still be audible at the
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* microphone. Mic-based note matching should be ignored during this time.
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*
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* A suspended AudioContext (autoplay policy, no user gesture yet) reports
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* currentTime = 0 forever — without the state check the gate would be
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* stuck "audible" permanently and matching would never engage.
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*/
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isAudible(): boolean {
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if (!this.ctx || this.ctx.state !== 'running') return false;
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return this.ctx.currentTime < this.audibleUntil;
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}
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}
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export const audioEngine = new AudioEngine();
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@@ -1,5 +1,15 @@
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import { YIN } from "pitchfinder";
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import { MIC_SENSITIVITY_DB_RANGE, AUDIO_CONSTRAINTS } from "../AppConfig";
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import { YIN, ACF2PLUS } from "pitchfinder";
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import {
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MIC_SENSITIVITY_DB_RANGE,
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AUDIO_CONSTRAINTS,
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PITCH_BUFFER_SIZE,
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PITCH_MIN_WINDOW,
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PITCH_DEFAULT_LOWEST_HZ,
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PITCH_HIGH_REGISTER_HZ,
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PITCH_NORMALIZE_TARGET_RMS,
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PITCH_BELOW_FLOOR_REJECT_FACTOR,
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} from "../AppConfig";
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import { createAudioContext } from "./AudioEngine";
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export interface MicrophoneDebugInfo {
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audioContextState: AudioContextState | 'inactive';
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@@ -12,13 +22,85 @@ export interface MicrophoneDebugInfo {
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isCapturing: boolean;
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}
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export type PitchDetectorFn = (buffer: Float32Array) => number | null;
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export interface DetectorSpec {
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detector: PitchDetectorFn;
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/** Whether the analysis buffer must be RMS-normalized before detection */
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normalize: boolean;
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}
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/**
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* Smallest power-of-two analysis window that still fits ~2 periods of the
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* lowest required frequency. Smaller window = lower latency and ~4x less CPU
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* per analysis frame. Clamped to [PITCH_MIN_WINDOW, PITCH_BUFFER_SIZE].
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*/
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export function chooseAnalysisWindowSize(sampleRate: number, lowestHz: number): number {
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const needed = Math.ceil((2 * sampleRate) / lowestHz);
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const pow2 = 2 ** Math.ceil(Math.log2(Math.max(1, needed)));
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return Math.max(PITCH_MIN_WINDOW, Math.min(PITCH_BUFFER_SIZE, pow2));
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}
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/**
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* Pick a detector for the instrument's range.
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*
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* pitchfinder's YIN force-sets yinBuffer[1] = 1 before cumulative
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* normalization, which makes its absolute-threshold search latch onto tau=2
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* (~20 kHz garbage) for low fundamentals — below ~100 Hz it is unreliable no
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* matter the window size. ACF2PLUS is robust from ~40 Hz up to ~2 kHz, but
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* tends to pick subharmonics above that. So: ACF2PLUS for normal instruments,
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* YIN only for high registers (e.g. whistle) where its low-end weakness is
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* irrelevant.
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*
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* Only the YIN path gets normalized input: ACF2PLUS has an internal
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* "rms < 0.01 -> unpitched" gate that must see the RAW signal — normalizing
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* first would amplify room hum/noise floors into confident wrong pitches
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* (the tuner then appears "stuck" on a note nobody played).
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*/
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export function selectDetector(sampleRate: number, lowestHz: number): DetectorSpec {
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if (lowestHz >= PITCH_HIGH_REGISTER_HZ) {
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return { detector: YIN({ sampleRate }), normalize: true };
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}
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return { detector: ACF2PLUS({ sampleRate }), normalize: false };
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}
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/** Kept for backwards compatibility with existing tests. */
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export function createPitchDetector(sampleRate: number, lowestHz: number): PitchDetectorFn {
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return selectDetector(sampleRate, lowestHz).detector;
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}
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/**
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* Scale the buffer in place to a constant RMS operating level (clamped to
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* [-1, 1]). Detectors are sensitive to absolute amplitude; without this,
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* quiet low-frequency input makes YIN return ~20 kHz nonsense.
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*/
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export function normalizeSignal(buffer: Float32Array, targetRms?: number): void {
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let rms = 0;
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for (let i = 0; i < buffer.length; i++) rms += buffer[i] * buffer[i];
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rms = Math.sqrt(rms / buffer.length);
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if (rms < 1e-6) return;
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const target = targetRms ?? PITCH_NORMALIZE_TARGET_RMS;
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const gain = target / rms;
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for (let i = 0; i < buffer.length; i++) {
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const v = buffer[i] * gain;
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buffer[i] = v > 1 ? 1 : v < -1 ? -1 : v;
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}
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}
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export class PitchAnalyzer {
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private detector: (buffer: Float32Array) => number | null;
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private detector: PitchDetectorFn | null = null;
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private normalizeInput = false;
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private audioContext: AudioContext | null = null;
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private analyser: AnalyserNode | null = null;
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private mediaStream: MediaStream | null = null;
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private source: MediaStreamAudioSourceNode | null = null;
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private buffer: Float32Array;
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/** Full-size backing buffer (fftSize samples) */
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private buffer = new Float32Array(PITCH_BUFFER_SIZE);
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/** Tail-view into `buffer`; only the most recent windowSize samples are analyzed */
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private window: Float32Array<ArrayBuffer> = this.buffer;
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private windowSize = PITCH_BUFFER_SIZE;
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private lowestFrequency = PITCH_DEFAULT_LOWEST_HZ;
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// Debug info
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private inputDeviceLabel: string = 'Not detected';
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@@ -26,11 +108,6 @@ export class PitchAnalyzer {
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private permissionState: PermissionState | 'unknown' = 'unknown';
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private currentRmsLevel: number = 0;
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constructor() {
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this.detector = YIN({ sampleRate: 44100 }); // Default, will update on start
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this.buffer = new Float32Array(2048); // Standard size
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}
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private sensitivityThreshold = 0.03; // Default
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/**
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@@ -49,6 +126,43 @@ export class PitchAnalyzer {
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this.sensitivityThreshold = Math.pow(10, db / 20);
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}
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/**
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* Configure the lowest frequency that must be detectable (Hz) and shrink
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* the analysis window accordingly.
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*
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* Pitch detection needs ~2 periods of the target frequency in the window.
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* A fixed 4096-sample window always analyzes ~90ms of audio history, which
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* makes the tuner feel sluggish. Guitar/piano/voice (>= ~65 Hz) only need
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* 2048 samples (~45ms) — half the latency at a quarter of the CPU cost.
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* Bass (E1 ~ 41 Hz) keeps the full 4096 window.
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*/
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setLowestFrequency(hz: number) {
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if (hz > 0) {
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this.lowestFrequency = hz;
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this.updateWindowSize();
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this.rebuildDetector();
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}
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}
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private updateWindowSize() {
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if (!this.audioContext) return; // applied on start()
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const size = chooseAnalysisWindowSize(this.audioContext.sampleRate, this.lowestFrequency);
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if (size !== this.windowSize) {
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this.windowSize = size;
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// View over the tail of the backing buffer: getFloatTimeDomainData
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// fills it with the most recent `size` samples.
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const byteOffset = (PITCH_BUFFER_SIZE - size) * Float32Array.BYTES_PER_ELEMENT;
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this.window = new Float32Array(this.buffer.buffer, byteOffset, size);
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}
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}
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private rebuildDetector() {
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if (!this.audioContext) return; // applied on start()
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const spec = selectDetector(this.audioContext.sampleRate, this.lowestFrequency);
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this.detector = spec.detector;
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this.normalizeInput = spec.normalize;
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}
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async start(): Promise<void> {
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if (this.audioContext) return;
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@@ -63,8 +177,9 @@ export class PitchAnalyzer {
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this.permissionState = 'unknown';
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}
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this.audioContext = new (window.AudioContext || (window as any).webkitAudioContext)();
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this.detector = YIN({ sampleRate: this.audioContext.sampleRate });
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this.audioContext = createAudioContext();
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this.updateWindowSize();
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this.rebuildDetector();
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try {
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// Use configured audio constraints
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@@ -98,8 +213,7 @@ export class PitchAnalyzer {
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this.source = this.audioContext.createMediaStreamSource(this.mediaStream);
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this.analyser = this.audioContext.createAnalyser();
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this.analyser.fftSize = 4096; // Higher FFT size for better resolution at low frequencies
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this.buffer = new Float32Array(this.analyser.fftSize);
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this.analyser.fftSize = PITCH_BUFFER_SIZE; // Large buffer; analyzed window adapts per instrument
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this.source.connect(this.analyser);
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@@ -123,6 +237,9 @@ export class PitchAnalyzer {
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this.audioContext.close();
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this.audioContext = null;
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}
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this.detector = null;
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this.analyser = null;
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this.source = null;
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this.currentRmsLevel = 0;
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this.inputDeviceLabel = 'Not detected';
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this.inputDeviceId = '';
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@@ -159,26 +276,43 @@ export class PitchAnalyzer {
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* getPitch returns the detected frequency in Hz, or null if no pitch detected
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*/
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getPitch(): number | null {
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if (!this.analyser) return null;
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this.analyser.getFloatTimeDomainData(this.buffer as any);
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if (!this.analyser || !this.detector) return null;
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// Always copy the full fftSize buffer (universally supported usage),
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// then analyze only the tail view = most recent windowSize samples.
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// (Passing an undersized array directly relies on browser-specific
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// behavior of getFloatTimeDomainData.)
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this.analyser.getFloatTimeDomainData(this.buffer);
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// Simple RMS volume check to avoid noise
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// Simple RMS volume check to avoid noise (on the analyzed window)
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let rms = 0;
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for (let i = 0; i < this.buffer.length; i++) {
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rms += this.buffer[i] * this.buffer[i];
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for (let i = 0; i < this.window.length; i++) {
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rms += this.window[i] * this.window[i];
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}
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rms = Math.sqrt(rms / this.buffer.length);
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rms = Math.sqrt(rms / this.window.length);
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// Store RMS for level meter
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this.currentRmsLevel = rms;
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if (rms < this.sensitivityThreshold) return null;
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const pitch = this.detector(this.buffer);
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// Normalize only on the YIN/high-register path. ACF2PLUS must see the
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// raw signal so its internal "rms < 0.01 -> unpitched" gate keeps
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// rejecting quiet decayed audio instead of amplifying it into a
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// confident wrong pitch.
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if (this.normalizeInput) {
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normalizeSignal(this.window);
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}
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const pitch = this.detector(this.window);
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// Widen range for Bass (E1 ~41Hz, but A0 is 27.5Hz) and Whistle (C8 ~4186Hz, Harmonics go higher)
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// Range 25Hz - 8000Hz covers Piano A0 to well above highest fundamental
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if (pitch && (pitch < 25 || pitch > 8000)) return null;
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// (Also filters out the -1 some detectors return for "unpitched".)
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if (pitch === null || pitch < 25 || pitch > 8000) return null;
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// Implausible for the current instrument (e.g. 50/60 Hz mains hum
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// while playing guitar): reject readings far below the configured floor.
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if (pitch < this.lowestFrequency * PITCH_BELOW_FLOOR_REJECT_FACTOR) return null;
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return pitch;
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}
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156
src/audio/pitchDetection.test.ts
Normal file
156
src/audio/pitchDetection.test.ts
Normal file
@@ -0,0 +1,156 @@
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import { describe, it, expect } from 'vitest';
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import {
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chooseAnalysisWindowSize,
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selectDetector,
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normalizeSignal,
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} from './PitchAnalyzer';
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import {
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PITCH_BUFFER_SIZE,
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PITCH_MIN_WINDOW,
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PITCH_BELOW_FLOOR_REJECT_FACTOR,
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} from '../AppConfig';
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/**
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* Regression tests for the pitch detection pipeline.
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*
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* pitchfinder's YIN returns ~20 kHz garbage for low fundamentals (its
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* forced yinBuffer[1] = 1 breaks the absolute-threshold search below
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* ~100 Hz) and for quiet input. The app therefore uses ACF2PLUS for normal
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* instruments, YIN only for high registers, and normalizes the analysis
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* buffer to a constant RMS. These tests synthesize instrument-like signals
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* (fundamental + harmonics + pluck decay, deterministic) and run them
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* through the exact helpers PitchAnalyzer uses.
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*/
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/** Deterministic instrument-like test signal (no RNG → no flaky tests). */
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function synth(freq: number, sampleRate: number, length: number, amp: number): Float32Array {
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const buf = new Float32Array(length);
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for (let i = 0; i < length; i++) {
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const t = i / sampleRate;
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const env = Math.exp(-t * 3); // pluck-like decay
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buf[i] = amp * env * (
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Math.sin(2 * Math.PI * freq * t) +
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0.5 * Math.sin(2 * Math.PI * freq * 2 * t) +
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0.25 * Math.sin(2 * Math.PI * freq * 3 * t) +
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0.1 * Math.sin(2 * Math.PI * freq * 4 * t) +
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0.02 * Math.sin(2 * Math.PI * 7.13 * i / length) // deterministic "noise" dither
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);
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}
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return buf;
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}
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/** Mirror of PitchAnalyzer.getPitch, minus microphone plumbing. */
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function detect(freq: number, sampleRate: number, lowestHz: number, amp = 0.3): number | null {
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const size = chooseAnalysisWindowSize(sampleRate, lowestHz);
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const buffer = synth(freq, sampleRate, size, amp);
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const { detector, normalize } = selectDetector(sampleRate, lowestHz);
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if (normalize) normalizeSignal(buffer);
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const pitch = detector(buffer);
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if (pitch === null || pitch < 25 || pitch > 8000) return null;
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if (pitch < lowestHz * PITCH_BELOW_FLOOR_REJECT_FACTOR) return null;
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return pitch;
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}
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function expectCloseTo(actual: number | null, expected: number) {
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expect(actual).not.toBeNull();
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expect(Math.abs(actual! - expected) / expected).toBeLessThan(0.03);
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}
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describe('chooseAnalysisWindowSize', () => {
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it('adapts to the instrument floor', () => {
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// Guitar low E2 (~78 Hz w/ margin) -> half window at 48k
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expect(chooseAnalysisWindowSize(48000, 77.8)).toBe(2048);
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// Bass low E1 (~39 Hz w/ margin) -> full window
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expect(chooseAnalysisWindowSize(48000, 38.9)).toBe(PITCH_BUFFER_SIZE);
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// Whistle register -> minimum window
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expect(chooseAnalysisWindowSize(48000, 622)).toBe(PITCH_MIN_WINDOW);
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});
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});
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describe('pitch detection across instruments (sample rate 48000)', () => {
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const SR = 48000;
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it('guitar (low E2)', () => {
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const floor = 77.8; // E2 minus one semitone
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expectCloseTo(detect(82.4, SR, floor), 82.4); // E2 — the regression case
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expectCloseTo(detect(110.0, SR, floor), 110); // A2
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expectCloseTo(detect(329.6, SR, floor), 329.6); // E4
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||||
});
|
||||
|
||||
it('guitar at low input level (quiet pluck tail)', () => {
|
||||
expectCloseTo(detect(82.4, SR, 77.8, 0.05), 82.4);
|
||||
expectCloseTo(detect(440, SR, 77.8, 0.05), 440);
|
||||
});
|
||||
|
||||
it('bass (low E1)', () => {
|
||||
const floor = 38.9;
|
||||
expectCloseTo(detect(41.2, SR, floor), 41.2); // E1 — broken even before the rewrite
|
||||
expectCloseTo(detect(55.0, SR, floor), 55); // A1
|
||||
});
|
||||
|
||||
it('piano', () => {
|
||||
const floor = 61.7; // C2 minus one semitone
|
||||
expectCloseTo(detect(65.4, SR, floor), 65.4); // C2
|
||||
expectCloseTo(detect(261.6, SR, floor), 261.6); // C4
|
||||
expectCloseTo(detect(1046.5, SR, floor), 1046.5); // C6
|
||||
});
|
||||
|
||||
it('whistle register (uses YIN, small window)', () => {
|
||||
const floor = 622; // E5 minus one semitone
|
||||
expectCloseTo(detect(659.3, SR, floor), 659.3); // E5
|
||||
expectCloseTo(detect(2093.0, SR, floor), 2093); // C7
|
||||
expectCloseTo(detect(4186.0, SR, floor), 4186); // C8
|
||||
});
|
||||
});
|
||||
|
||||
describe('pitch detection (sample rate 44100)', () => {
|
||||
it('still works', () => {
|
||||
expectCloseTo(detect(82.4, 44100, 77.8), 82.4);
|
||||
expectCloseTo(detect(41.2, 44100, 38.9), 41.2);
|
||||
expectCloseTo(detect(440, 44100, 77.8), 440);
|
||||
});
|
||||
});
|
||||
|
||||
describe('normalizeSignal', () => {
|
||||
it('scales to the target RMS', () => {
|
||||
const buf = synth(440, 48000, 2048, 0.02);
|
||||
normalizeSignal(buf, 0.3);
|
||||
let rms = 0;
|
||||
for (const v of buf) rms += v * v;
|
||||
rms = Math.sqrt(rms / buf.length);
|
||||
expect(rms).toBeGreaterThan(0.2); // ~0.3 modulo decay envelope shape
|
||||
});
|
||||
|
||||
it('leaves silence untouched', () => {
|
||||
const buf = new Float32Array(1024);
|
||||
normalizeSignal(buf);
|
||||
expect(buf.every(v => v === 0)).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('noise-floor rejection (tuner freeze regression)', () => {
|
||||
const SR = 48000;
|
||||
|
||||
it('rejects 50 Hz mains hum for guitar (floor ~78 Hz)', () => {
|
||||
expect(detect(50, SR, 77.8)).toBeNull();
|
||||
});
|
||||
|
||||
it('rejects 60 Hz mains hum for guitar', () => {
|
||||
expect(detect(60, SR, 77.8)).toBeNull();
|
||||
});
|
||||
|
||||
it('rejects hum for the whistle register too', () => {
|
||||
expect(detect(50, SR, 622)).toBeNull();
|
||||
expect(detect(120, SR, 622)).toBeNull();
|
||||
});
|
||||
|
||||
it('returns null for very quiet decayed signal instead of a confident wrong pitch', () => {
|
||||
// Raw RMS ~0.003: below ACF2PLUS's internal unpitched gate.
|
||||
// (Normalization must NOT rescue this into a bogus reading.)
|
||||
expect(detect(82.4, SR, 77.8, 0.005)).toBeNull();
|
||||
});
|
||||
|
||||
it('still detects the string when it rings at moderate level', () => {
|
||||
expectCloseTo(detect(82.4, SR, 77.8, 0.05), 82.4);
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user