Vocal Emotion Recognition in School-Age Children With Hearing Aids
Notice bibliographique
Résumé
OBJECTIVES: In individuals with normal hearing, vocal emotion recognition continues to develop over many years during childhood. In children with hearing loss, vocal emotion recognition may be affected by combined effects from loss of audibility due to elevated thresholds, suprathreshold distortions from hearing loss, and the compensatory features of hearing aids. These effects could be acute, affecting the perceived signal quality, or accumulated over time, affecting emotion recognition development. This study investigates if, and to what degree, children with hearing aids have difficulties in perceiving vocal emotions, beyond what would be expected from age-typical levels. DESIGN: We used a vocal emotion recognition test with non-language-specific pseudospeech audio sentences expressed in three basic emotions: happy, sad, and angry, along with a child-friendly gamified test interface. The test group consisted of 55 school-age children (5.4 to 17.8 years) with bilateral hearing aids, all with sensorineural hearing loss with no further exclusion based on hearing loss degree or configuration. For characterization of complete developmental trajectories, the control group with normal audiometric thresholds consisted of 86 age-matched children (6.0 to 17.1 years), and 68 relatively young adults (19.1 to 35.0 years). RESULTS: Vocal emotion recognition of the control group with normal-hearing children and adults improved across age and reached a plateau around age 20. Although vocal emotion recognition in children with hearing aids also improved with age, it seemed to lag compared with the control group of children with normal hearing. A group comparison showed a significant difference from around age 8 years. Individual data indicated that a number of hearing-aided children, even with severe degrees of hearing loss, performed at age-expected levels, while some others scored lower than age-expected levels, even at chance levels. The recognition scores of hearing-aided children were not predicted by unaided or aided hearing thresholds, nor by previously measured voice cue discrimination sensitivity, for example, related to mean pitch or vocal tract length perception. CONCLUSIONS: In line with previous literature, even in normal hearing, vocal emotion recognition develops over many years toward adulthood, likely due to interactions with linguistic and cognitive development. Given the long development period, any potential difficulties for vocal emotion recognition in children with hearing loss can only be identified with respect to what would be realistic based on their age. With such a comparison, we were able to show that, as a group, children with hearing aids also develop in vocal emotion recognition, however, seemingly at a slower pace. Individual data indicated a number of the hearing-aided children showed age-expected vocal emotion recognition. Hence, even though hearing aids have been developed and optimized for speech perception, these data indicate that hearing aids can also support age-typical development of vocal emotion recognition. For the children whose recognition scores were lower than age-expected levels, there were no predictive hearing-related factors. This could be potentially reflecting inherent variations related to development of relevant cognitive mechanisms, but a role from cumulative effects from hearing loss is also a possibility. As follow-up research, we plan to investigate if vocal emotion recognition will improve over time for these children.
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 | 0,000 |
| 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 ».