title: Channel weights for speech recognition in cochlear implant users.
abstract: The purpose of this study was to develop and validate a method of estimating the relative "weight" that a multichannel cochlear implant user places on individual channels, indicating its contribution to overall speech recognition. The correlational method as applied to speech recognition was used both with normal-hearing listeners and with cochlear implant users fitted with six-channel speech processors. Speech was divided into frequency bands corresponding to the bands of the processor and a randomly chosen level of corresponding filtered noise was added to each channel on each trial. Channels in which the signal-to-noise ratio was more highly correlated with performance have higher weights, and conversely, channels in which the correlations were smaller have lower weights. Normal-hearing listeners showed approximately equal weights across frequency bands. In contrast, cochlear implant users showed unequal weighting across bands, and varied from individual to individual with some channels apparently not contributing significantly to speech recognition. To validate these channel weights, individual channels were removed and speech recognition in quiet was tested. A strong correlation was found between the relative weight of the channel removed and the decrease in speech recognition, thus providing support for use of the correlational method for cochlear implant users.
authors.affiliation: Department of Speech Pathology and Audiology, University of Iowa, Iowa City 52242, USA.
authors.forename: M A
authors.initials: MA
authors.lastname: Mehr
authors.forename: C W
authors.initials: CW
authors.lastname: Turner
authors.forename: A
authors.initials: A
authors.lastname: Parkinson
mesh_terms: D000328:Adult; D001288:Attention; D003054:Cochlear Implants; D004566:Electrodes; D005260:Female; D006801:Humans; D007206:Individuality; D008297:Male; D008875:Middle Aged; D013018:Sound Spectrography; D013067:Speech Perception