This study investigated the ability of children with specific learning disabilities (SLD), children with language impairments (LI), and children who are normally achieving (NA) to recall the events and story structures of a narrative and an expository text. Effects of group, verbal age, text structure, and order of presentation on recall as measured through listening comprehension were studied. Sixty students who were matched on verbal age served as subjects. Results suggested differences between the LI and SLD groups on text recall. Differences were also evident for text type, with recall of narrative text typically being superior to recall of expository text. In general, the performance of the group with SLD was similar to that of the NA group.
This study presents the performance of a non-native English-speaking adult using the Nucleus 22 Channel cochlear implant. Included are the subject’s (1) history, (2) promontory stimulation results, (3) audiological information, (4) pre- and post-implantation speech recognition test results, (5) post-implantation auditory phoneme recognition using the wearable speech processor (WSP), the minispeech processor (MSP), and the Spectra processor, and (6) the subject’s subjective reports of benefits in terms of communication and social interactions. The subject, a highly motivated and intelligent male who, presented with a profound bilateral, progressive sensorineural hearing loss of unknown etiology, was 59 years old when the right ear was implanted. Prior to implantation the subject was aided in the left ear, but had never been aided in the right ear. The subject’s performance using each of three processors is presented for medial vowel recognition and medial consonant recognition using auditory stimulation only. Results are displayed through confusion matrices generated based on the subject’s responses to these acoustic stimuli. In summary, the vowel and consonant phoneme recognition of a subject with the Nucleus cochlear implant using various processors is presented. Improved phoneme recognition is demonstrated with filter banking versus feature extraction coding strategies.
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