@audio/ shift-hybrid
Status calibrated
npm1.1.0licenseMIT
Hybrid pitch shift — runs phase-lock + WSOLA in parallel, crossfades by transient confidence
Overview
- Install
- Updated
- Family
- shift, 15 packages under it
- Tags
- time & pitch
import hybrid from '@audio/shift-hybrid'
Runs phaseLock and wsola in parallel, crossfades sample-by-sample by spectral-flux transient confidence. Tonal regions resolve via the phase vocoder; attacks resolve via WSOLA similarity search, time-aligned against phaseLock before blending so the two engines' attacks land together.
hybrid(audio, { ratio: 1.5 })
hybrid(audio, { ratio: 1.5, hybridThreshold: 0.6 })
| Param | Default | |
|---|---|---|
hybridThreshold |
0.8 |
Spectral-flux z-score for full WSOLA blend |
Preserves tonal phase coherence + attack shape — simultaneously.
Destroys CPU budget (≈2×), formants.
| f0 err | THD% | alias | attack corr | formant dist | phase coh | shift |
|---|---|---|---|---|---|---|
| 0.00 | 0.0 | 0.000 | 0.984 | 1.423 | 0.999 | 1.824 |
Same phaseLock-derived numbers as phaseLock/transient on this non-percussive suite — the WSOLA blend never activates because nothing here crosses hybridThreshold. Worst shift score among the frequency-adjacent methods for the same reason: it's carrying wsola's parallel computation for a blend that stays at zero.
Use when: Mixed dynamic material where a single domain compromises the other.
Not for: Pure tonal (just use phaseLock) or pure percussive (just use transient).
Stream
let write = hybrid({ ratio: 1.5 })
let out = write(inputBlock)
let tail = write() // flush
hybrid buffers the whole input; write(chunk) accumulates and the batch algorithm runs once on write() (flush, no argument), returning everything at once.
Data
Input is a Float32Array (mono) or an array of Float32Array channels ([left, right, ...]) — anything else throws TypeError. ratio here is a fixed number for the whole call — a function or Float32Array throws.
Part of @audio/shift — the shift family umbrella. This README is generated from the umbrella docs.
MIT © audiojs