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Record W1973190589 · doi:10.2741/2666

The auditory organization of complex sounds

2007· review· en· W1973190589 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in bioscience · 2007
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAuditory scene analysisTimbrePerceptionSelective auditory attentionActive listeningNatural soundsCategorical variableNatural (archaeology)Schema (genetic algorithms)Auditory perceptionPsychologyCognitive psychologyAuditory systemCategorical perceptionComputer scienceCognitionCognitive scienceCommunicationSpeech perceptionSpeech recognitionNeuroscienceMusicalSelective attention

Abstract

fetched live from OpenAlex

This chapter reviews the existing evidence on the auditory processes that are responsible for the formation of auditory percepts in natural listening situations ('the auditory scene'). The formation of the perceptual attributes of auditory events is explained as the result of the interaction of two types of auditory grouping processes, general-purpose and schema-based processes. A further distinction is made between attribute-specific and categorical schemas. After discussing the formation of perceptual attributes and of the timbre of familiar sounds, the chapter explores current knowledge on how the brain builds perceptual representations of simultaneous auditory events and of sequences of auditory events. The nature of auditory scene analysis processes and of their interactions is discussed, and a tentative interactive model is proposed as a framework for future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.104
GPT teacher head0.351
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it