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Record W2024974443 · doi:10.1525/mp.2012.30.2.117

Perception of Dyads of Impulsive and Sustained Instrument Sounds

2012· article· en· W2024974443 on OpenAlexaff
Damien Tardieu, Stephen McAdams

Bibliographic record

VenueMusic Perception An Interdisciplinary Journal · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcGill University
Fundersnot available
KeywordsDyadMultidimensional scalingPerceptionSpectral envelopeTimbrePsychologySpectral shape analysisCategorical variableAcousticsMathematicsSpeech recognitionStatisticsComputer scienceSocial psychologyPhysicsSpectral line

Abstract

fetched live from OpenAlex

perception of instrumental blend is important for understanding aspects of orchestration, but no work has studied blends of impulsive and sustained instruments. The first experiment identified the factors that influence the rating of blendedness of dyads formed of one sustained sound and one impulsive sound. Longer attack times and lower spectral centroids increased blend. The contribution of the impulsive sound’s properties to the degree of blend was greater than that of the sustained sound. The second experiment determined the factors that influence similarity ratings among dyads. The mean spectral envelope and the attack time of the dyad best explained the dissimilarity ratings. However, contrary to the first experiment, the spectral envelope of the sustained sound was more important than that of the impulsive sound. Multidimensional scaling of dissimilarity ratings on blended dyads yielded one dimension correlated with the attack time of the dyad and another dimension whose spectral correlate was different for two different clusters within the space, spectral spread for one and spectral flatness for the other, suggesting a combined categorical-analogical organization of the second dimension.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.332
Teacher spread0.290 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations35
Published2012
Admission routes1
Has abstractyes

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