181
Views
0
CrossRef citations to date
0
Altmetric
Articles

Perception of prosody in children with auditory processing disorders

&
Pages 25-30 | Received 17 Dec 2020, Accepted 13 Jun 2021, Published online: 25 Jun 2021
 

ABSTRACT

The objective of this study was to investigate perception of affective prosody in a group of children diagnosed as having auditory processing disorders (APDs) and compare their performance with those of typically developing children. Auditory Linguistic Integration test in Marathi, which assesses affective prosody, was administered on 159 children in the age range of 5–7 years. Among them, 53 children had APD, and 106 children did not have APD. The results of the study revealed that the perception of affective prosody was significantly poor in children with APD when compared to typically developing children. The results of the study suggested that a subset of children with APD may show difficulty in the perception of affective prosody. Further studies need to be carried out to explore the factors that can affect the perception of affective prosody in children with APD.

Acknowledgements

The authors thank the authorities of Bharati Vidyapeeth (Deemed to be University) Medical College and School of Audiology and Speech Language Pathology for giving permission to carry out the study. Thanks to the children who participated in the study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 283.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.