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Record W2032589776 · doi:10.1525/mp.2010.28.2.155

Sound Source Mechanics and Musical Timbre Perception: Evidence From Previous Studies

2010· article· en· W2032589776 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

VenueMusic Perception An Interdisciplinary Journal · 2010
Typearticle
Languageen
FieldComputer Science
TopicMusic and Audio Processing
Canadian institutionsMcGill University
Fundersnot available
KeywordsTimbrePerceptionMultidimensional scalingMusicalPitch (Music)Identification (biology)PsychologySound (geography)Focus (optics)AcousticsCognitive psychologyComputer scienceSpeech recognitionPhysicsArt

Abstract

fetched live from OpenAlex

Timbre has been conceived of as a multidimensional sensory attribute and as a carrier of perceptually useful information about the mechanics of the sound source. To date, research on musical timbre has focused on defining its acoustical correlates, whereas fragmentary evidence is available on the influence of mechanical parameters. We quantified the extent to which mechanical properties of the sound source are associated with structures in the data from published identification and dissimilarity-rating studies. We focus on two macroscopic mechanical properties: the musical instrument family and excitation type. Identification confusions are significantly more frequent for same-family instruments. With dissimilarity ratings, same-family or same-excitation tones are judged more similar and tend to occupy the same region of multidimensional-scaling spaces. As such, significant associations between the perception of musical timbre and the mechanics of the sound source emerge even when not explicitly demanded by the task.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
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 studies0.0020.000
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0000.001
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 head0.062
GPT teacher head0.351
Teacher spread0.289 · 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