A neural network model for optimizing vowel recognition by cochlear implant listeners

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 9, Issue 1, 2001, Pages 42-48

  Chang, Chung Hwa ^a   Anderson, Gary T ^a,b   Loizou, Philipos C ^a,c  

^a IEEE   (United States)

^b University of Arkansas at Little Rock ^*  (United States)

^c The University of Texas at Dallas   (United States)

Author keywords

Cochlear implants; Neural networks for cochlear implants

Indexed keywords

COCHLEAR IMPLANTS;

IMPLANTS (SURGICAL); NEURAL NETWORKS; SAMPLING;

SPEECH PROCESSING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COCHLEA PROSTHESIS; CONTROLLED STUDY; HEARING; HUMAN; PRIORITY JOURNAL; SPEECH DISCRIMINATION; TASK PERFORMANCE; TRAINING; VOWEL;

ALGORITHMS; COCHLEAR IMPLANTS; DEAFNESS; HEARING; HUMANS; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SPEECH PERCEPTION; TASK PERFORMANCE AND ANALYSIS;

EID: 0034900887     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/7333.918275     Document Type: Article

References (14)

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4. A new portable sound processor for the University of Melbourne/Nucleus Limited multielectrode cochlear implant
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6. Changes in speech intelligibility as a function of time and signal processing strategy for an ineraid patient fitted with CIS processors
7. The effect of parametric variations of cochlear implant processors on speech understanding
8. The recognition of vowels produced by men, women, boys, and girls by cochlear implant patients using a six-channel CIS processor
9. Mathematical modeling of vowel perception by users of analog multichannel cochlear implants: Temporal and channel-amplitude cues
10. Acoustic characteristics of american english vowels