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Record W2059323339 · doi:10.1121/1.4778768

Validating a new approach for predicting the degree of speech security

2005· article· en· W2059323339 on OpenAlexaff
Bradford N. Gover, John S. Bradley

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2005
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsIntelligibility (philosophy)Degree (music)Computer scienceSpeech recognitionAcousticsNoise (video)Artificial intelligencePhysics

Abstract

fetched live from OpenAlex

The new method of estimating the speech security of meeting rooms first predicts transmitted speech levels at spot positions 0.25 m from the outside boundaries of a meeting room. The degree of speech security at each spot measurement position is related to this transmitted speech level and to the ambient noise level at the same location. This information can be used to calculate new signal/noise ratio measures that indicate the degree of speech security [J. Acoust. Soc. Am. 116(6), 3480–3490 (2004)]. The values of these indices will indicate whether speech will be audible or intelligible, and to what degree. This paper reports validation studies of the prediction of transmitted speech levels at points 0.25 m outside the meeting room, and the effects of varied room absorption on these predicted levels. It also reports on subjective evaluations of the transmitted speech sounds, in terms of the audibility and intelligibility of the transmitted speech, to validate expected judgments in realistic acoustical conditions.

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)0.002
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.759
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.042
GPT teacher head0.277
Teacher spread0.235 · 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
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

Citations0
Published2005
Admission routes1
Has abstractyes

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