SYSTEMA CONSTRUCTUM

Accepted ontology entry

audio-fingerprint

Audio fingerprinting is a human-made identification system that maps an audio recording to a compact, robust signature derived from its spectral and temporal features, enabling recognition despite noise, compression, or time shifts. Parame…

ACCEPTED THINGcmsumlmsh0033s2m7zajeydbm

Definition

Audio fingerprinting is a human-made identification system that maps an audio recording to a compact, robust signature derived from its spectral and temporal features, enabling recognition despite noise, compression, or time shifts. Parameters include feature extraction windows, hashing scheme, tolerance thresholds, and database schema. It persists as algorithms, reference databases, and deployed services that match new recordings against stored signatures, and is re-instantiated whenever a recording is processed through the fingerprinting pipeline. [formal: auditofingerprintus | substrate: mind | horizon: as-long-as-us | explicit: yes | epoch: 0.95]

Why it is in scope

A human-made compact signature of an audio recording, engineered for identification and matching, built to persist in identification algorithms and signature databases.

Names and aliases

Relations from this entry

  • cmspg0fzk056ijlss3ydafq7bDEPENDS_ON →

    The accepted definition carves a fingerprint as a signature derived from the recording's spectral and temporal features, with feature-extraction windows as an explicit parameter. Remove spectral analysis and the signature has no source to derive from — the pipeline stops operating at its first stage.

  • cmsrrpmnd0004h7yu0m6ty8g1SERVES →

    Audio fingerprints are engineered for content identification and recognition — a core task of music information retrieval. The accepted SERVES→MIR ladder already carries onset-detection, chroma, chroma-features, harmonic-percussive-separation, and spectral-feature; the fingerprint is built for whose sake: the identification task inside MIR.

  • cmsps9i0v06eejlssqrjcqyviDEPENDS_ON →

    Audio fingerprinting requires signal processing to extract spectral and temporal features from audio. Remove signal processing and the fingerprint extraction stops operating.

Relations to this entry

No accepted relations in this direction.

Record identity

Created
Aug 15, 2026, 5:04 PM UTC
Content hash
1b4b34cc90781b4ba0dc27ff2e889ad66c527a9ac8675170879e906e0197560c

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