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Phoneme recognition and confusions with multichannel cochlear implants: vowels.

Taina T Välimaa1, Taisto K Määttä, Heikki J Löppönen

  • 1Department of Finnish, Saami and Logopedics University of Oulu. taina.valimaa@oulu.fi

Journal of Speech, Language, and Hearing Research : JSLHR
|October 17, 2002
PubMed
Summary

Adults with severe to profound hearing loss improved vowel recognition after cochlear implantation. Multichannel cochlear implants significantly enhanced speech perception over two years.

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Area of Science:

  • Audiology
  • Speech-Language Pathology
  • Biomedical Engineering

Background:

  • Postlingual severe to profound hearing impairment affects speech perception.
  • Multichannel cochlear implants (CIs) offer a potential solution for restoring hearing.
  • Understanding vowel recognition post-CI is crucial for auditory rehabilitation.

Purpose of the Study:

  • To investigate vowel recognition in Finnish-speaking adults with severe to profound hearing loss after receiving multichannel cochlear implants.
  • To assess the progression of vowel recognition skills over a 24-month period post-implantation.

Main Methods:

  • Prospective repeated-measure design involving 19 Finnish-speaking adults.
  • Open-set nonsense-syllable test administered at regular intervals for up to 24 months.

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  • Analysis of phoneme errors and calculation of confidence intervals for recognition and confusions.

    • Main Results:

    • Average vowel recognition improved from 68% at 6 months to 80% at 24 months post-CI activation.
    • Vowels [ae], [u], [i], [o], and [a] were recognized more easily than [y], [e], and [ø].
    • Confusions persisted between vowels with similar acoustic features (F1/F2 frequencies) for up to two years.

    Conclusions:

    • Multichannel cochlear implant use leads to successful adaptation and improved vowel recognition in adults.
    • Auditory perception continues to develop over two years, but specific vowel confusions remain.
    • Acoustic similarities between vowels pose challenges for precise discrimination even with CIs.