MétaCan
Menu
Back to cohort
Record W2050186234 · doi:10.1121/1.4788232

Microphone calibration by comparison

2006· article· en· W2050186234 on OpenAlexaff
George S. K. Wong

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2006
Typearticle
Languageen
FieldComputer Science
TopicSpeech and Audio Processing
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMicrophoneReciprocity (cultural anthropology)CalibrationAcousticsNoise-canceling microphoneComputer scienceMicrophone arrayMathematicsPhysicsLoudspeakerStatistics

Abstract

fetched live from OpenAlex

The absolute method of microphone calibration by the reciprocity method (IEC 61094-2 1992) provides the highest accuracy of approximately 0.04 to 0.05 dB, and the procedure requires three changes of microphone in the ‘‘driver-receiver combination’’ that needs approximately 1 to 2 days. The system capital cost is relatively high. The NRC interchange microphone method for microphone calibration by comparison has been adopted internationally by the International Electrotechnical Commission as IEC 61094-5 (2001-10). With this method, the test microphone is compared with a reference microphone calibrated by the reciprocity method and the procedure requires approximately 3 h. The uncertainty of the comparison method is between 0.08 to 0.09 dB, which satisfies most industrial needs.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score0.178

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 science0.0010.000
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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations1
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicSpeech and Audio ProcessingFrench-language works237,207