Prosody in typical and clinical populations: Children and adults with hearing loss
Notice bibliographique
Résumé
Aims: Aims of this doctoral thesis were to: 1) evaluate published tools for assessing prosodic skills in children and adults, 2) investigate age effects on different aspects of prosody perception in typically developing children and report normative performance for New Zealand-English speaking 7-12 year olds, 3) compare prosody perception and production in children with hearing loss and age- and gender-matched children with normal hearing, 4) examine the effects of age, hearing level, and musicality on children’s prosody perception, and 5) investigate prosody perception and musical pitch discrimination in adults using cochlear implants. Methods: Published tools were identified through searching online databases, bibliographies of relevant articles and contacting authors. Six receptive subtests of Profiling Elements of Prosody in Speech-Communication (PEPS-C) and Child Paralanguage and Adult Paralanguage subtests of Diagnostic Analysis of Non Verbal Accuracy 2 (DANVA 2) were used as prosody perception measures. Musical pitch discrimination was assessed using Contour and Interval subtests of the Montreal Battery of Evaluation of Amusia (MBEA). Prosody productions were rated using the perceptual prosody rating scales. Results: The literature review identified nine prosody assessment tools available for use with children and adults that were appraised for their intended purpose, target population, domains of prosody assessed, feasibility, and psychometric properties. The review highlighted the need to continue to develop and test tools for effective and comprehensive assessment of prosodic skills. The second study revealed that prosodic competence develops significantly between the ages of 7 and 11 years. Results from the PEPS-C test revealed a differential pattern of acquisition for different aspects of prosody, with 7-8 year olds being significantly poorer than 11-12 year olds on Chunking and Contrastive Stress subtests. Performance on the DANVA 2 test of affective prosody perception differed significantly across emotional categories (angry > happy > sad > fearful) and the level of emotion intensity (better scores for high emotion intensity items). The third study showed that children with hearing loss aged 7 to 12 years performed significantly poorer than controls on PEPS-C and DANVA 2 tests. Prosody perception scores were significantly correlated with age, hearing level, and musicality. Prosody production evaluated using perceptual rating scales showed greater variation in perceptual ratings of pitch, pitch variation, and overall prosody in the hearing loss group compared to the control group. Adults using cochlear implants performed significantly poorer than adult normative values reported for PEPS-C and DANVA 2 tests and the majority performed at chance on MBEA tasks. Conclusions: The relatively small number of tools available to evaluate prosody compared to other aspects of language suggests that prosody is often overlooked in terms of formal language assessment. The normative results reported for New Zealand-English speaking children will be useful when assessing prosodic difficulties in children with hearing loss or autism spectrum disorder. Together, the studies on children and adults with hearing loss suggest that clinical assessment and therapy services for people with hearing loss should be expanded to target prosodic difficulties.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».