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Record W1931194833

Influence of source location, subjects and hpd size on the sound field around earmuffs

2011· article· en· W1931194833 on OpenAlex
Cécile Le Cocq, Hugues Nélisse, Jérôme Boutin, Jérémie Voix, Frédéric Laville

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.

Bibliographic record

VenueEspace ÉTS (ETS) · 2011
Typearticle
Languageen
FieldComputer Science
TopicSpeech and Audio Processing
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travailÉcole de Technologie Supérieure
Fundersnot available
KeywordsMicrophoneAcousticsSound pressureStandard deviationAttenuationSound (geography)MireAcoustic source localizationPhysicsMathematicsOpticsStatisticsGeography
DOInot available

Abstract

fetched live from OpenAlex

The Field-MIRE (F-MIRE) technique has been developed to objectively quantify the attenuation of earplugs using two microphones. One is located under the HPD while the other one is used to capture the exterior sound field. The objective of the experiment is to demonstrate the influence of the type and location of the source as well as the location of the microphone on the measurement of the incident sound pressure on earmuffs. At the front of the earmuff, the mean and the standard deviation values of the normalized SPL are the highest for all frequencies, whereas at the back of the earmuff, the mean and the standard deviation values are the smallest for all frequencies. Both the sound source location and the microphone location on the earmuff seem to have a significant effect on the measured sound pressure level.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.770
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.016
GPT teacher head0.230
Teacher spread0.215 · 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