Technical Program

Paper Detail

Paper:AE-L1.4
Session:Hearing Aids and Auditory Modeling
Time:Tuesday, May 18, 14:00 - 14:20
Presentation: Lecture
Topic: Audio and Electroacoustics: Auditory Modeling and Hearing Aids
Title: VOWEL AND CONSONANT CONFUSION IN NOISE BY COCHLEAR IMPLANT SUBJECTS: PREDICTING PERFORMANCE USING SIGNAL PROCESSING TECHNIQUES
Authors: Jeremiah Remus; Duke University 
 Leslie Collins; Duke University 
Abstract: Cochlear implants are able to restore some degree of hearing to deafened individuals; however implant users are particularly susceptible to background noise. The effect of noise can be assessed using vowel and consonant confusions measured in listening experiments. This paper presents three signal processing methods developed to predict patterns in vowel and consonant confusion in noise for cochlear implant users. Prediction performance is tested using the results of a listening experiment conducted with acoustic models of two cochlear implant speech processors and normal hearing subjects. Confusion prediction is based on prediction metrics calculated using each method’s unique representation of the speech tokens.
 
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