@audio/denoise-detect

denoise — content-aware auto-selector that classifies the dominant noise type

npm install @audio/denoise-detect

import denoise from '@audio/denoise-detect'

Content-aware auto-selector. Runs a single STFT classification sweep over the input and dispatches to the most suitable method.

denoise(data)                                                  // → cleaned Float32Array
denoise(data, { returnPlan: true })                            // → { out, plan }
denoise(data, { force: 'wiener' })                             // skip classifier

| Param | Default | | |---|---|---| | fs | 44100 | Sample rate | | force | — | One of 'dehum' \| 'declick' \| 'dewind' \| 'deesser' \| 'dereverb' \| 'omlsa' \| 'wiener' | | returnPlan | false | Return { out, plan } with classifier scores + chosen method |

Routing (in priority order):

1. tonal hum (Goertzel — ≥2 of first 3 harmonics show 50× line/off-line ratio at 50 or 60 Hz)
2. impulses (excess kurtosis of AR residual > 12)
3. sibilance (high/mid band power ratio > 8)
4. LF rumble (low/mid band power ratio > 3)
5. non-stationary noise (frame-energy CV > 0.6) → omlsa
6. otherwise → wiener

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

MIT © audiojs