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Record W1598643323

Establishing normative voice characteristics of younger and older adults

2009· article· en· W1598643323 on OpenAlexaffvenue
Jessica Banh, Konstantin Naumenko, Huiwen Goy, Pascal van Lieshout, David N. Fernandes, M. Kathleen Pichora‐Fuller

Bibliographic record

VenueCanadian acoustics · 2009
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNormativePhonationAudiologyTask (project management)Speech recognitionSound pressurePresentation (obstetrics)PsychologySample (material)Computer scienceMedicineEngineeringTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

A study was conducted to demonstrate the establishment of normative voice characteristics of younger and older adults. It used a new and unique program, called SpeechClinic to record voice samples. SpeechClinic displayed calculated values when a voice sample was recorded. These calculated values included average pitch, length of phonation, and sound pressure level for each task. The algorithms used by the program for performing analyses were well-established and the measured parameters were comparable with most other values. The program allowed the presentation of this information for a given patient, which was useful in monitoring treatment progress. The main objective of the study was to obtain a large number of acoustic voice measures for healthy younger and older adults and provide information about the distribution of these voice characteristics.

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: Empirical
Teacher disagreement score0.829
Threshold uncertainty score1.000

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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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

Citations2
Published2009
Admission routes2
Has abstractyes

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