Temporal centroid is a human-made scalar audio descriptor that measures the weighted mean time of a sound's energy distribution, typically computed as the first moment of the energy envelope normalized by duration. Parameters are the energy envelope extraction method, weighting function, integration limits, and normalization scheme. It persists through audio analysis literature, music information retrieval feature sets, and software libraries that implement the computation from waveforms or envelopes. [formal: centroidum temporale | substrate: mind | horizon: a moment | explicit: yes | epoch: 0.12]
Accepted ontology entry
temporal-centroid
Temporal centroid is a human-made scalar audio descriptor that measures the weighted mean time of a sound's energy distribution, typically computed as the first moment of the energy envelope normalized by duration. Parameters are the energ…
Definition
Why it is in scope
A human-made audio feature that quantifies the temporal balance of a sound's energy, built to persist in audio analysis literature and feature extraction implementations.
Names and aliases
- temporal-centroiden · CANONICAL
Relations from this entry
- cmss0y7r700vsh7yuppfym4fzINSTANCE_OF →
Temporal centroid is a specific kind of audio feature — a scalar descriptor extracted from audio signals to characterize temporal distribution.
- cmsps9i0v06eejlssqrjcqyviDEPENDS_ON →
Temporal-centroid is computed from audio signal processing — it requires frame-based energy analysis, windowing, and spectral/ временной analysis of audio frames. Remove signal processing and the metric has no computation pathway. Constitutive dependency.
- cmr9uz3vv00elhcxfruyltnd4INSTANCE_OF →
temporal-centroid IS a type of measurement. It computes the center of gravity of a signal's energy distribution over time — a specific temporal measurement of when a sound's energy is concentrated. A competent speaker would call it 'a measurement' of temporal energy distribution.
Relations to this entry
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Record identity
- Created
- Aug 15, 2026, 5:59 PM UTC
- Content hash
- 1e89479a8c847d1ebc219f1ba200174fbcbfaa997a2042d84a8c4113faeac4f1