Graeme Clark Collection

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    Signal processing for multichannel cochlear implants: past, present and future [Abstract]
    DOWELL, RICHARD ; SELIGMAN, PETER ; MCDERMOTT, HUGH ; Whitford, Lesley ; BLAMEY, PETER ; Clark, Graeme M. ( 1994)
    Since the late 1970's, many groups have worked on developing effective signal processing for multichannel cochlear implants. The main aim of such schemes has been to provide the best possible speech perception for those using the device. Secondary aims of providing awareness and discrimination of environmental sounds and appreciation of music have also been considered. Early designs included some that attempted to simulate the normal cochlea. The application of such complex processing schemes was limited by the technology of the times. In some cases, researchers reverted to the use of single channel systems which could be controlled reliably with the existing technology. In other cases, as with the Australian implant, a simple multichannel processing scheme was devised that allowed a reliable implementation with available electronics. Over the next 15 years, largely due to the improvements in integrated circuit technology, the signal processors have slowly become more complex. Further psychophysical research has shown how additional information can be transferred effectively to implant users via electrical stimulation of the cochlea. This has lead to rapid improvement in the speech perception abilities of adults using cochlear implants. Some of the main developments in signal processing over the last 15 years will be discussed along with the latest speech perception results obtained with the new SPEAK processing scheme for the Australian 22-channel cochlear implant. Initial results for SPEAK show mean scores of 70% (equivalent to 85-90% phoneme scores) for open set monosyllabic word testing for experienced adult users. Although there remains a large range of performance for all users of cochlear implants, average speech perception scores for all implanted adults have also improved significantly with the developments in signal processing. It appears likely that multichannel cochlear implants will be a viable alternative for the treatment of severe hearing loss in the future.
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    Speech recognition performance with a two-formant coding strategy for a multi-channel cochlear prosthesis [Abstract]
    Dowell, R. C. ; Blamey, P. J. ; Seligman, P. M. ; Brown, Alison M. ; Clark, Graeme M. ( 1986)
    Over the last two years, a new speech coding strategy (F0F1F2) has been developed for the Nucleus multi-channel cochlear prosthesis designed to provide information about the first formant, in addition to the second formant and voicing frequency information provided by the “standard” speech processing strategy (F0F2). This strategy uses quasi-simultaneous stimulation of two electrode pairs within the cochlea at the voice pitch rate. The positions of the two sites of stimulation vary independently according to the frequencies of the first and second formants. The amplitude at each site is determined from the first and second formant amplitudes. Seven patients were changed to this strategy and an initial study showed significant improvements in recognition of open set sentence material (from a mean of 30.4% for F0F2 to 62.9% for F0F1F2) and for speech tracking without lipreading (from 11.8 wpm to 30.5 wpm). Phoneme recognition investigations indicated that: 1) vowel identification was improved due to the addition of first formant frequency information in the new strategy, 2) consonant identification was also improved, due to the extra information provided by the independent variation of the amplitude components. These encouraging results led to the use of the F0F1F2 strategy for all new patients from April 1985. Results for recorded speech testing (MAC battery) three months after surgery have been compared for 13 patients who used the F0F1F2 strategy. Significant improvements were observed for the F0F1F2 group on most of the tests. Mean scores for open set testing were as follows: a) spondee recognition: 13.6% for F0F2 and 26.0% for F0F1F2, b) CID sentences: 15.9% for F0F2 and 37.8% for F0F1F2, c) monosyllabic words: 4.9% for F0F2 and 12.4% for F0F1F2, d) phoneme recognition: 23.1% for F0F2 and 33.4% for F0F1F2.