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Because there are many parameters in the cochlear implant (CI) device that can be optimized for individual patients, it is important to estimate a parameter's effect before patient evaluation. In this paper, Mel-frequency cepstrum coefficients (MFCCs) were used to estimate the acoustic vowel space for vowel stimuli processed by the CI simulations. The acoustic space was then compared to vowel recognition...
Because of the limited spectro-temporal resolution associated with the implant device, cochlear implant (CI) patients are more susceptible to talker variability than normal hearing (NH) listeners. In the present study, the effect of a smooth GMM based spectral conversion algorithm on multi-talker sentence recognition was tested in CI patients. In a model of CI speech processing (4-16 channels of spectrally...
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