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Record W1485484674

A comparison of acoustic effects of two stopper and crown systems in the modern flute

2001· article· en· W1485484674 on OpenAlexvenueno aff
J. Simon Tait

Bibliographic record

VenueCanadian acoustics · 2001
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFluteAcousticsHarmonicsLoudnessTimbreSound pressureAmplitudeHarmonicChirpEngineeringElectrical engineeringPhysicsVoltageArtOptics
DOInot available

Abstract

fetched live from OpenAlex

A new stopper and crown system developed by flute maker Robert Bigio is reported to produce a louder, harmoni cally richer and faster response in the orchestra flute.Using spectral analysis software, the author compared the two systems (Standard and Bigio) in a test flute to find any significant differences in relative loudness and amplitude of recorded test note harmonics.A homemade impedance head mounted on the flute's embouchure plate was used to measure the pressure response of the flute sound wave produced in response to signal excitation (Schroeder chirp, 500 to 5000 Hz).Results showed that the Bigio unit was associated with stronger levels of amplitude and total power, higher amplitude in harmonics, and a slightly higher pressure response.The Bigio unit may be important for improv ing the timbre of the flute, but more work must be done to ensure that harmonic changes are more consistent, and to decide whether pressure differences make for an easier or harder blowing flute. RSUMPlusieurs annoncent qu'un nouveau systme de taquet et couronne dvlopp par le fabricateur de fltes, Robert Bigio produit un rponse plus fort, plus vite et des harmoniques plus prononces dans la flte d'orchestre.En util isant des logiciels d'analyse spectrale, l 'auteur avait compar deux systmes (Standard et Bigio) dans une flte d'preuve pour dcouvrir de diffrences en force relatif et l'amplitude harmonique de notes enregistres.Un appareil de mesure d'impdance fait la maison, install sur la plaque d'embouchre tait utilis pour mesur la pression de

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2001
Admission routes1
Has abstractyes

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