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Record W4396699543 · doi:10.1177/20592043241246751

Comparison of Heard and Imagined Blends of Instrumental Dyads

2024· article· en· W4396699543 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMusic & Science · 2024
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsInstrumental variablePsychologyMathematicsStatistics

Abstract

fetched live from OpenAlex

Timbral blend is fundamental in various musical activities for shaping sounds and musical intentions. Previous studies on blend perception have mostly focused on sounding blends, neglecting imagined blend made possible by inner hearing where sounds are imagined in the mind. Experiment 1 investigated how imagined blend compares to the perception of heard blend and whether musical background has an effect. Two groups of participants (musicians and nonmusicians; N = 31 per group) were presented with pairs of short instrument sounds in unison from 14 different instruments in two different experimental conditions. In the first condition, paired sounds were played sequentially, and participants were instructed to imagine them being played simultaneously and to rate their degree of blend. In the second condition, pairs of instrument sounds were played simultaneously, and participants were asked to rate the perceived degree of blend. Results showed significant interaction effects among the instrument pairs, presentation conditions, and musical backgrounds. Acoustic modeling and multidimensional scaling of blend ratings showed both varying and invariant roles of different acoustic features between the two types of blend perception. Imagining blend appears to be more sensitive to differences in brightness and richness of the high partial content between the blending sounds. Experiment 2 with 48 participants was conducted on the perception of dissimilarity between instruments, using the same stimuli as the previous experiment. Results from this experiment provided evidence that evaluating imagined blends is strongly informed by judging the dissimilarity of blending instruments. In practice, how the two types of blends differ is a result of complex interactions involving the specificity of blending instruments and listeners’ musical backgrounds.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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