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• W2014673568 abstract "Difficulties in speech recognition experienced by cochlear implant users may be attributed both to information loss caused by signal processing and to information loss associated with the interface between the electrode array and auditory nervous system, including cross-channel interaction. The objective of the work reported here was to attempt to partial out the relative contribution of these different factors to consonant recognition. This was achieved by comparing patterns of consonant feature recognition as a function of channel number and presence/absence of background noise in users of the Nucleus 24 device with normal hearing subjects listening to acoustic models that mimicked processing of that device. Additionally, in the acoustic model experiment, a simulation of cross-channel spread of excitation, or “channel interaction,” was varied. Results showed that acoustic model experiments were highly correlated with patterns of performance in better-performing cochlear implant users. Deficits to consonant recognition in this subgroup could be attributed to cochlear implant processing, whereas channel interaction played a much smaller role in determining performance errors. The study also showed that large changes to channel number in the Advanced Combination Encoder signal processing strategy led to no substantial changes in performance." @default.
• W2014673568 created "2016-06-24" @default.
• W2014673568 creator A5027731638 @default.
• W2014673568 date "2009-03-01" @default.
• W2014673568 modified "2023-09-27" @default.
• W2014673568 title "Modeling the effect of channel number and interaction on consonant recognition in a cochlear implant peak-picking strategy" @default.
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• W2014673568 doi "https://doi.org/10.1121/1.3075554" @default.
• W2014673568 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19275329" @default.
• W2014673568 hasPublicationYear "2009" @default.
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