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Record W2408101889

Timbre blending of wind instruments: acoustics and perception

2012· article· en· W2408101889 on OpenAlex
Sven-Amin Lembke, Stephen McAdams

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDMU Open Research Archive (De Montfort University) · 2012
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
FundersSchulich School of Music
KeywordsFormantTimbrePerceptionAcousticsMaximaRelevance (law)Invariant (physics)Spectral envelopeOrchestrationSpeech recognitionComputer scienceMathematicsPsychologyVowelPhysics
DOInot available

Abstract

fetched live from OpenAlex

The acoustical and perceptual factors involved in timbre blending between orchestral wind instruments are investi- gated based on a pitch-invariant acoustical description of wind instruments. This description involves the estimation of spectral envelopes and identification of prominent spectral maxima or ‘formants’. A possible perceptual relevance for these formants is tested in two experiments employing differ- ent behavioral tasks. Relative frequency location and mag- nitude differences between formants can be shown to bear a pitch-invariant perceptual relevance to blend for several in- struments, with these findings contributing to a perceptual theory of orchestration.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.003
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 head0.059
GPT teacher head0.307
Teacher spread0.248 · 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