Predicting the Intelligibility of Cochlear-implant Vocoded Speech from Objective Quality Measure(2) Department of Electrical Engineering, The University of Texas at Dallas, Richardson, Texas75083, USA Chairman:Hung-Chi Yang Presenter: Yu-Kai Wang Advisor: Dr. Yeou-Jiunn Chen Date: 2012.12.12 Introduction(2) A speech intelligibility index To predict the intelligibility of vocoded speech. To guide development of new speech processing strategies for cochlear implants. It is highly correlated with the perceptual evaluation of speech quality (PESQ) measure. Originally designed for predicting subjective speech quality. Purposes Assess the performance of conventional objective measures Applied to predicting the intelligibility of vocoded speech.