Auditory Scene Analysis¶
Bregman, A. S. (1990). Auditory Scene Analysis: The Perceptual Organization of Sound. MIT Press.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Contrast
- The same pattern recurs in audition: Bregman (1990) showed in Auditory Scene Analysis that the auditory system parses acoustic mixtures by exploiting frequency, timbral, and temporal contrasts that segregate one stream from another.
This sourceFoundational account of how the auditory system segregates a sound mixture into streams using frequency, timbral, temporal, and spatial cues — supports the claim that audition parses mixtures by exploiting acoustic contrasts that separate one stream from another.
- The same pattern recurs in audition: Bregman (1990) showed in Auditory Scene Analysis that the auditory system parses acoustic mixtures by exploiting frequency, timbral, and temporal contrasts that segregate one stream from another.
- Figure-Ground
- Music and audio: A melodic line heard as figure over a harmonic or rhythmic accompaniment heard as ground; in mixing, a vocal foregrounded above an instrumental bed by level, frequency, and reverb so that one stream is attended and the rest recedes.
This sourceFoundational account of how the auditory system organizes a sound mixture into streams; supports auditory figure-ground, in which a melodic or vocal line is heard as figure over an accompaniment bed and is foregrounded through level, frequency, and spatial/reverberant cues while the remainder recedes.
- Music and audio: A melodic line heard as figure over a harmonic or rhythmic accompaniment heard as ground; in mixing, a vocal foregrounded above an instrumental bed by level, frequency, and reverb so that one stream is attended and the rest recedes.
- Gestalt Principles
- The same structural pattern appears in: clustering algorithms (k-means, DBSCAN, hierarchical) that group data points by proximity, similarity, and density; graph-partitioning methods that identify communities via connectedness; topic modeling that groups documents by semantic similarity; audio stream segregation where elements are grouped into auditory objects by frequency proximity, harmonic relation, and common onset, an extension Bregman (1990) systematized in Auditory Scene Analysis by demonstrating that the same proximity, similarity, continuity, and common-fate principles that organize visual fields also segregate concurrent and sequential auditory streams;
This sourceDemonstrates that the proximity, similarity, continuity, and common-fate principles that organize visual fields also segregate concurrent and sequential auditory streams.
- The same structural pattern appears in: clustering algorithms (k-means, DBSCAN, hierarchical) that group data points by proximity, similarity, and density; graph-partitioning methods that identify communities via connectedness; topic modeling that groups documents by semantic similarity; audio stream segregation where elements are grouped into auditory objects by frequency proximity, harmonic relation, and common onset, an extension Bregman (1990) systematized in Auditory Scene Analysis by demonstrating that the same proximity, similarity, continuity, and common-fate principles that organize visual fields also segregate concurrent and sequential auditory streams;
Verification¶
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Links previously used in the corpus¶
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Registry ID ref:3d4220964148 · see in the full table