Evidence map›Paper›PMID 42543459›Full record

ReviewAttention, perception & psychophysics2026

Auditory scene analysis in music: A synthetic review.

Kai Siedenburg, Robin Hake, Simon Jacobsen, Michel Bürgel

Abstract readReview
In one paragraph

Review in Attention, perception & psychophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kai SiedenburgInstitute of Music, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany. kai.siedenburg@uol.de.
Robin HakeInstitute of Music, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Simon JacobsenDepartment of Medical Physics and Acoustics, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Michel BürgelInstitute of Music, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music is the synthesis of a multitude of components: the combination of spectrotemporal structures emerging from different acoustic or electronic instruments, carefully orchestrated to form a connected whole. From these complex textures, our auditory system groups components through a process called musical scene analysis (MSA). In this review, we aim to address several questions about MSA. What are the perceptual principles underpinning musical scene perception? How are these principles being probed with different experimental paradigms? What stimulus and listener factors shape MSA? And what are future perspectives that further drive this field of research? We will find that Gestalt principles from psychology help us organize a musical scene through primitive and schema-based grouping cues. Such principles are being investigated through both minimalist and ecological experimental designs that give rise to several factors affecting MSA. We will present studies that have investigated blend and segregation, salience, and complexity, as stimulus-based aspects, and both peripheral and cognitive factors, which explain inter-individual differences among listeners. We conclude by exploring different perspectives on how music is attuned to MSA and the aesthetic affordances of multi-source music - perspectives that might inform future research in the field.

Indexed as

AttentionAuditory PerceptionMusicCuesGestalt TheoryHumansAuditory scene analysisBlendComplexityExperimental paradigmsGestalt principlesImmersionInter-individual differencesMulti-source musicMusical scene analysisMusic perceptionSalience

Identifiers

PMID42543459
PMCPMC13429554

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.