Perception of emotional expression in musical performance.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".