An Improved Speech Processing Strategy for Cochlear Implants Based on objective measures for predicting speech intelligibility

The purpose of this study was to improve the speech processing strategy for cochlear implants (CIs) A speech preprocessing algorithm is presented to improve the speech intelligibility in noise. The algorithm improves the intelligibility by optimally redistributing the speech energy over time and frequency for a perceptual distortion measure, the algorithm is more sensitive to transient regions. Two objective intelligibility predictors are applied before and after processing without modifying the global speech energy. Kalman filter is used to calculate estimated errors Keywords—algorithm for perceptual distortion; Methods for speech intelligibility prediction ;STOI; coherence SII; Kalman filter;