Models of speech perception by users of auditory neural prostheses-Project 1

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Models of speech perception by users of auditory neural prostheses-Project 1

Brief description of study

The first specific aim of the proposed research is to develop mathematical models of phoneme and word identification for individual CI users. To achieve this aim we will refine our current mathematical models of speech perception by multichannel CI users, which are based on the CI users' discrimination along specified perceptual dimensions. These psychophysically-based models are explanatory: they do not simply attempt to predict overall scores on speech perception tests based on psychophysical tests, they also provide hypotheses about the mechanism CI users employ to encode and process the input auditory signal to extract information relevant for identifying different speech sounds. Thus, these models can be used to predict differences across CI users and across stimuli.

Clinical Study Identifier: 05-265

Principal Investigator: Mario A Svirsky.

Other Investigators: Ariel Edward Hight, Daniel Jethanamest, Nicole Hope Capach, Mahan Azadpour, Elad Sagi.

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