Auditory scene analysis is the human-made computational and perceptual framework that decomposes a complex acoustic mixture into distinct sound sources, modeled on human auditory grouping principles. Its parameters include grouping cues (onset synchrony, harmonicity, common fate, spectral continuity), source count priors, and segregation algorithms. It persists through peer-reviewed literature, software libraries, and audio engineering curricula that teach source separation as a structured practice. [formal: analysis scaenae auditivae | substrate: mind | horizon: a moment | explicit: yes | epoch: 0.10]
Accepted ontology entry
auditory-scene-analysis
Auditory scene analysis is the human-made computational and perceptual framework that decomposes a complex acoustic mixture into distinct sound sources, modeled on human auditory grouping principles. Its parameters include grouping cues (o…
Definition
Why it is in scope
A human-made computational and perceptual framework built to persist through research literature, software libraries, and audio engineering curricula.
Names and aliases
- auditory-scene-analysisen · CANONICAL
Relations from this entry
- cmsps9i0v06eejlssqrjcqyviINSTANCE_OF →
Auditory scene analysis is a specific computational framework within signal processing that decomposes mixtures using grouping cues and segregation algorithms. A competent speaker calls it a signal processing approach.
- cmsthfps6014z13a4dzw2hmvcDEPENDS_ON →
Auditory scene analysis as a computational framework depends on psychoacoustic principles for its operation. The psychoacoustic model of auditory grouping (Bregman's theory) provides the operational foundation for ASA algorithms. Remove psychoacoustics and ASA loses its theoretical framework.
- cmsthfps6014z13a4dzw2hmvcDERIVED_FROM →
Law 7 which-came-first: psychoacoustics as a field predates auditory scene analysis as a formal construct. ASA was derived from psychoacoustic and auditory perception research, notably Bregman's work building on earlier psychoacoustic models.
Relations to this entry
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Record identity
- Created
- Aug 14, 2026, 10:35 PM UTC
- Content hash
- e7a5ee3d1106f1f40e526223cc8e08ba9dbf579c86ea9d5d5fd5245804e8228f