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Record W2000207433 · doi:10.1121/1.4806543

Prosodic correlates of smiled-speech

2013· article· en· W2000207433 on OpenAlexaffabout
Caroline Émond, Marty Laforest

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2013
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité du Québec à Montréal
Fundersnot available
KeywordsPerceptionPsychologySpeech perceptionSpeech recognitionRhythmIntensity (physics)AudiologyComputer scienceAcousticsMedicine

Abstract

fetched live from OpenAlex

Smiling is a visible expression and an audible one too when it is synchronous with speech. Very few studies have documented the perceptual prosodic cues associated with perceived smiling speech. The first aim of this paper is to study the perception of smiled-speech according to the listeners’ gender. The reaction time and the intensity of the perceived smiled-speech were also investigated. The second aim is to identify a combination of prosodic parameters which would allow a phonetic description of smiled-speech. 140 utterances were extracted from spontaneous data (Montréal 1995 corpus) and used as stimuli for a perception test administered to 40 Québec French listeners (20 men, 20 women). Results show that men and women do not perceived smiled-speech in the same way, and women are quicker than men to make their decisions. Moreover, reaction times are faster for utterances perceived as smiling with a high degree of intensity, for both men and women, than those with lower intensity. Perceived prosodic parameters related to pitch height, pitch range, rhythm, and speech rate in relation to smiled-speech and its intensity are also discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of America→Same topicPhonetics and Phonology Research→French-language works237,207→