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@audio/mir-similarity

v1.1.4

Published

Audio similarity — distance metric between recordings

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Links

Git

Maintainers

jamenjamendfcreativedfcreativedydy

Keywords

audiodspmirsimilarity

Readme

@audio/mir-similarity

Audio similarity — timbral distance from frame-MFCC statistics (mean + variance, symmetrized) blended with harmonic distance from mean-chroma cosine. Classical single-Gaussian MFCC baseline (Logan/Aucouturier lineage).

npm install @audio/mir-similarity

import similarity from '@audio/mir-similarity'

let r = similarity(takeA, takeB, { fs: 44100 })
// { score: 0..1, timbre: 0..1, harmony: 0..1 }

Options: - fs — sample rate (default 44100, Hz) · weight — timbre vs. harmony blend, 1 = timbre only (default 0.5)

Also exported as an audio.js stat manifest (./audio — pass the comparison take as { ref }).

Part of @audio/mir.