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Enregistrement W2606715714 · doi:10.3766/jaaa.16001

Prosody Perception and Production in Children with Hearing Loss and Age- and Gender-Matched Controls

2016· article· en· W2606715714 sur OpenAlexaboutno aff
Rose Thomas Kalathottukaren, Suzanne C. Purdy, Elaine Ballard

Notice bibliographique

RevueJournal of the American Academy of Audiology · 2016
Typearticle
Langueen
DomaineNeuroscience
ThématiqueHearing Loss and Rehabilitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAudiologyProsodyHearing lossPsychologyPerceptionSpeech perceptionAudiometrySpeech productionMedicineSpeech recognitionComputer science

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Auditory development in children with hearing loss, including the perception of prosody, depends on having adequate input from cochlear implants and/or hearing aids. Lack of adequate auditory stimulation can lead to delayed speech and language development. Nevertheless, prosody perception and production in people with hearing loss have received less attention than other aspects of language. The perception of auditory information conveyed through prosody using variations in the pitch, amplitude, and duration of speech is not usually evaluated clinically. PURPOSE: This study (1) compared prosody perception and production abilities in children with hearing loss and children with normal hearing; and (2) investigated the effect of age, hearing level, and musicality on prosody perception. RESEARCH DESIGN: Participants were 16 children with hearing loss and 16 typically developing controls matched for age and gender. Fifteen of the children with hearing loss were tested while using amplification (n = 9 hearing aids, n = 6 cochlear implants). Six receptive subtests of the Profiling Elements of Prosody in Speech-Communication (PEPS-C), the Child Paralanguage subtest of Diagnostic Analysis of Nonverbal Accuracy 2 (DANVA 2), and Contour and Interval subtests of the Montreal Battery of Evaluation of Amusia (MBEA) were used. Audio recordings of the children's reading samples were rated using a perceptual prosody rating scale by nine experienced listeners who were blinded to the children's hearing status. STUDY SAMPLE: Thirty two children, 16 with hearing loss (mean age = 8.71 yr) and 16 age- and gender-matched typically developing children with normal hearing (mean age = 8.87 yr). DATA COLLECTION AND ANALYSIS: Assessments were completed in one session lasting 1-2 hours in a quiet room. Test items were presented using a laptop computer through loudspeaker at a comfortable listening level. For children with hearing loss using hearing instruments, all tests were completed with hearing devices set at their everyday listening setting. RESULTS: All PEPS-C subtests and total scores were significantly lower for children with hearing loss compared to controls (p < 0.05). The hearing loss group performed more poorly than the control group in recognizing happy, sad, and fearful emotions in the DANVA 2 subtest. Musicality (composite MBEA scores and musical experience) was significantly correlated with prosody perception scores, but this link was not evident in the regression analyses. Regression modeling showed that age and hearing level (better ear pure-tone average) accounted for 55.4% and 56.7% of the variance in PEPS-C and DANVA 2 total scores, respectively. There was greater variability for the ratings of pitch, pitch variation, and overall impression of prosody in the hearing loss group compared to control group. Prosody perception (PEPS-C and DANVA 2 total scores) and ratings of prosody production were not correlated. CONCLUSIONS: Children with hearing loss aged 7-12 yr had significant difficulties in understanding different aspects of prosody and were rated as having more atypical prosody overall than controls. These findings suggest that clinical assessment and speech-language therapy services for children with hearing loss should be expanded to target prosodic difficulties. Future studies should investigate whether musical training is beneficial for improving receptive prosody skills.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,591
Score d'incertitude au seuil0,384

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,300
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations35
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

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