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Children's consonant inventories after extended cochlear implant use.

Steven B Chin1

  • 1Indiana University, School of Medicine, Department of Otolaryngology-HNS, Indianapolis 46202-5119, USA. schin@iupui.edu

Journal of Speech, Language, and Hearing Research : JSLHR
|September 10, 2003
PubMed
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Children using cochlear implants develop unique consonant inventories, not just subsets of English sounds. Understanding these diverse phonological systems is crucial for effective speech habilitation.

Area of Science:

  • Speech-Language Pathology
  • Audiology
  • Linguistics

Background:

  • Cochlear implants (CIs) significantly impact speech sound development in children.
  • Understanding the phonological systems of CI users is vital for habilitation.
  • Previous research often assumes CI users' inventories are subsets of the ambient language.

Purpose of the Study:

  • To qualitatively describe the consonant inventories of children with long-term CI use.
  • To analyze sound correspondences between children's systems and English.
  • To identify differences in inventories based on communication mode (oral vs. total communication).

Main Methods:

  • Elicited productions of English words using a picture-naming task.
  • Determined consonant inventories for 12 children with at least 5 years of CI use.

Related Experiment Videos

  • Compared inventories of oral communication (OC) users and total communication (TC) users.
  • Main Results:

    • Consonant inventories of CI users are unique sets, not mere subsets of English.
    • Some inventories included non-English sound segments.
    • OC users' inventories had more English segments (e.g., alveolar fricatives, velar stops/nasals).
    • TC users' inventories showed a higher prevalence of non-English segments (e.g., uvular stops).

    Conclusions:

    • A comprehensive understanding of CI users' phonological systems requires detailed segment inventory analysis.
    • Phonological system differences between OC and TC users were observed.
    • Accurate habilitation requires considering both the inclusion of target sounds and exclusion of non-target sounds.