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Record W2101144668 · doi:10.5281/zenodo.1176810

Frequency Content Of Breath Pressure And Implications For Use In Control

2005· article· en· W2101144668 on OpenAlexaff
Gary Scavone, Andrey da Silva

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSIGNAL (programming language)Context (archaeology)AcousticsEnergy (signal processing)Pressure measurementPressure sensorComputer scienceMathematicsPhysicsStatistics

Abstract

fetched live from OpenAlex

The breath pressure signal applied to wind music instruments is generally considered to be a slowly varying function of time. In a context of music control, this assumptionimplies that a relatively low digital sample rate (100-200Hz) is sufficient to capture and/or reproduce this signal.We tested this assumption by evaluating the frequency content in breath pressure, particularly during the use of extended performance techniques such as growling, humming,and flutter tonguing. Our results indicate frequency contentin a breath pressure signal up to about 10 kHz, with especially significant energy within the first 1000 Hz. We furtherinvestigated the frequency response of several commerciallyavailable pressure sensors to assess their responsiveness tohigher frequency breath signals. Though results were mixed,some devices were found capable of sensing frequencies upto at least 1.5 kHz. Finally, similar measurements were conducted with Yamaha WX11 and WX5 wind controllers andresults suggest that their breath pressure outputs are sampled at about 320 Hz and 280 Hz, respectively.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.117

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 head0.040
GPT teacher head0.258
Teacher spread0.218 · 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 designObservational
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

Citations14
Published2005
Admission routes1
Has abstractyes

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