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Record W2074631568 · doi:10.1037/a0021922

Perception of emotional expression in musical performance.

2011· article· en· W2074631568 on OpenAlex
Anjali Bhatara, Anna K. Tirovolas, Lilu Marie Duan, Bianca Levy, Daniel J. Levitin

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

VenueJournal of Experimental Psychology Human Perception & Performance · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcGill University
FundersCanada Foundation for InnovationSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaMcGill UniversityAutism Speaks
KeywordsMusical expressionMusicalPerceptionPsychologyEmotional expressionExpression (computer science)Cognitive psychologyCommunicationComputer scienceArtNeuroscienceVisual arts

Abstract

fetched live from OpenAlex

Expression in musical performance is largely communicated by the manner in which a piece is played; interpretive aspects that supplement the written score. In piano performance, timing and amplitude are the principal parameters the performer can vary. We examined the way in which such variation serves to communicate emotion by manipulating timing and amplitude in performances of classical piano pieces. Over three experiments, listeners rated the emotional expressivity of performances and their manipulated versions. In Experiments 1 and 2, timing and amplitude information were covaried; judgments were monotonically decreasing with performance variability, demonstrating that the rank ordering of acoustical manipulations was captured by participants' responses. Further, participants' judgments formed an S-shaped (sigmoidal) function in which greater sensitivity was seen for musical manipulations in the middle of the range than at the extremes. In Experiment 3, timing and amplitude were manipulated independently; timing variation was found to provide more expressive information than did amplitude. Across all three experiments, listeners demonstrated sensitivity to the expressive cues we manipulated, with sensitivity increasing as a function of musical experience.

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 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 score0.764
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.098
GPT teacher head0.363
Teacher spread0.265 · 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