Prediction of Individual Cochlear Implant Recipient Speech Perception With the Output Signal to Noise Ratio Metric.

07:00 EST 12th February 2020 | BioPortfolio

Summary of "Prediction of Individual Cochlear Implant Recipient Speech Perception With the Output Signal to Noise Ratio Metric."

A cochlear implant (CI) implements a variety of sound processing algorithms that seek to improve speech intelligibility. Typically, only a small number of parameter combinations are evaluated with recipients but the optimal configuration may differ for individuals. The present study evaluates a novel methodology which uses the output signal to noise ratio (OSNR) to predict complete psychometric functions that relate speech recognition to signal to noise ratio for individual CI recipients.


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This article was published in the following journal.

Name: Ear and hearing
ISSN: 1538-4667


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Treatment for individuals with speech defects and disorders that involves counseling and use of various exercises and aids to help the development of new speech habits.

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