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Record W2075386733 · doi:10.1121/1.4744741

Children’s detection of tonal signals in roving level noise maskers

2001· article· en· W2075386733 on OpenAlexaff
Prudence Allen, Suzanne Turpin

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2001
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsAcousticsMathematicsSIGNAL (programming language)Noise (video)Detection theorySpeech recognitionAudiologyComputer sciencePhysicsArtificial intelligenceDetectorMedicineTelecommunications

Abstract

fetched live from OpenAlex

Preschool-aged children’s masked detection thresholds have been measured at S/N levels for which the level of the signal plus masker exceeds that of the masker alone by approximately 6 dB and for which the temporal fine structure of the masked signal approximates that of the signal alone [Allen et al., J. Acoust. Soc. Am. 104, 2997–3005 (1998); P. Allen and L. Korpela, ibid. 105, 1152(A) (1999)]. When level information is removed through randomization of masker levels, children could rely on temporal fine structure changes for detection. This study asked children and adults to detect 500-, 2000-, and 4000-Hz tonal signals presented in roving level maskers centered at 10- or 25-dB N0. Thresholds for some children remained consistent with previous data in fixed-level conditions at all frequencies suggesting that temporal fine structure information may have been used by them, even at frequencies where its coding is subject to phase locking limitations. However, there were large individual differences with many children performing very poorly. [Work supported by NSERC.]

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)0.000
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: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.030
GPT teacher head0.335
Teacher spread0.305 · 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

Citations1
Published2001
Admission routes1
Has abstractyes

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