Predicting the Intelligibility of Cochlear-implant Vocoded Speech from Objective Quality Measure(12)

Department of Electrical Engineering, The University of Texas at Dallas, Richardson, Texas75083, USA

Chairman:Hung-Chi YangPresenter: Yu-Kai WangAdvisor: Dr. Yeou-Jiunn ChenDate: 2012.12.12

Material and Methods

Experiments Experiments 1 and 2 listened to vocoded English stimuli

Total of 30 and 24 test conditions,respectively Experiment 3 listened to vocoded Mandarin Chinese stimuli

total of 20 test conditions,respectively Twenty sentences, and none of the sentences were repeated. The order of the test conditions was randomized. Subjects were given a 5-minute break every 30 minutes

during the testing session..

Material and Methods

Used objective speech quality measures for predicting the intelligibility of vocoded speech in noisy conditions.

Vocoded English Vocoded Mandarin Chinesein

This study investigated the performance. The linear predictive coding (LPC) The log-likelihood ratio (LLR) The Itakura-Saito (IS) The cepstrum (CEP) distance measures