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Related Experiment Videos

Patterns of phoneme identification error in cochlear and eighth-nerve disorders.

M Hannley, J Jerger

    Audiology : Official Organ of the International Society of Audiology
    |January 1, 1985
    PubMed
    Summary

    Listeners with retrocochlear auditory disorder make more vowel errors than those with cochlear disorders. This difference in phoneme identification may explain speech rollover in retrocochlear dysfunction.

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    Area of Science:

    • Audiology
    • Speech-Language Pathology
    • Neuroscience

    Background:

    • Auditory disorders, including cochlear and retrocochlear types, significantly impact speech intelligibility.
    • Understanding phoneme identification error patterns is crucial for diagnosing and managing auditory dysfunction.

    Purpose of the Study:

    • To investigate differential phoneme identification error patterns in individuals with cochlear versus retrocochlear auditory disorders.
    • To determine if stimulus presentation level influences error types in these patient groups.

    Main Methods:

    • Speech intelligibility was assessed using monosyllabic word lists and confusion matrices.
    • Fifteen patients with retrocochlear (eighth-nerve) disorders and 15 with cochlear disorders were studied.
    • Participants were matched for age and audiometric configuration.

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    Main Results:

    • Vowel errors were significantly more common in the retrocochlear group compared to the cochlear group.
    • The prevalence of vowel errors in the retrocochlear group increased with higher stimulus presentation levels.
    • No significant differences in consonant error types or frequencies were observed between the two groups, irrespective of presentation level.

    Conclusions:

    • Phoneme identification errors, particularly in vowels, differ between cochlear and retrocochlear auditory disorders.
    • Vowel error patterns in retrocochlear dysfunction may contribute to the speech 'rollover' phenomenon.
    • Findings are consistent across open-set and closed-set testing, validating the observed error patterns.