audioJS

@audio/shift-transient

Status calibrated

npm1.1.0licenseMIT

Transient-aware phase vocoder pitch shift with attack preservation

Overview

Install
Updated
Family
shift, 15 packages under it
import transient from '@audio/shift-transient'

Peak-locked phase vocoder with spectral-flux transient detection. On transient frames, synthesis phase resets to analysis phase, preserving attacks. Between transients, behaves like phaseLock.

transient(audio, { ratio: 1.5 })
transient(audio, { semitones: 5, transientThreshold: 2.0 })
Param Default
transientThreshold 1.5 z-score over log-flux EMA (higher = fewer resets)

Preserves phase coherence, partial structure, attack localization on detected transients.
Destroys formants; misses quiet transients at too-high threshold.

f0 err THD% alias attack corr formant dist phase coh shift
0.00 0.0 0.000 0.984 1.423 0.999 1.755

Byte-identical to phaseLock on every fixture in the quality suite — the onset detector's z-score gate never fires on them, not even the plucked string's attack. It's built for real percussive onsets (see the demo's rock-beat fixture, which npm run quality doesn't score); on this synthetic suite it's a phaseLock with unused wiring.

Use when: Music with drums — the default choice.
Not for: Voice where formant preservation matters.

Stream

let write = transient({ ratio: 1.5 })
let out = write(inputBlock)
let tail = write()  // flush

transient streams per-frame: each write(chunk) call renormalizes and emits audio as soon as a frame completes, and re-chunking the same input differently reproduces the batch output byte for byte.

Data

Input is a Float32Array (mono) or an array of Float32Array channels ([left, right, ...]) — anything else throws TypeError. ratio also accepts a function t => ratio (seconds from stream start) or a Float32Array breakpoint envelope (resampled across the input via ratioDuration, default the input's own duration) for time-varying pitch.


Part of @audio/shift — the shift family umbrella. This README is generated from the umbrella docs.

MIT © audiojs