title: Recognition of spectrally degraded phonemes by younger, middle-aged, and older normal-hearing listeners.
abstract: The effects of spectral degradation on vowel and consonant recognition abilities were measured in young, middle-aged, and older normal-hearing (NH) listeners. Noise-band vocoding techniques were used to manipulate the number of spectral channels and frequency-to-place alignment, thereby simulating cochlear implant (CI) processing. A brief cognitive test battery was also administered. The performance of younger NH listeners exceeded that of the middle-aged and older listeners, when stimuli were severely distorted (spectrally shifted); the older listeners performed only slightly worse than the middle-aged listeners. Significant intragroup variability was present in the middle-aged and older groups. A hierarchical multiple-regression analysis including data from all three age groups suggested that age was the primary factor related to shifted vowel recognition performance, but verbal memory abilities also contributed significantly to performance. A second regression analysis (within the middle-aged and older groups alone) revealed that verbal memory and speed of processing abilities were better predictors of performance than age alone. The overall results from the current investigation suggested that both chronological age and cognitive capacities contributed to the ability to recognize spectrally degraded phonemes. Such findings have important implications for the counseling and rehabilitation of adult CI recipients.
authors.affiliation: Department of Hearing and Speech Sciences, University of Maryland, College Park, Maryland 20742, USA. kschvartz@hesp.umd.edu
authors.forename: Kara C
authors.initials: KC
authors.lastname: Schvartz
authors.forename: Monita
authors.initials: M
authors.lastname: Chatterjee
authors.forename: Sandra
authors.initials: S
authors.lastname: Gordon-Salant
mesh_terms: D000161:Acoustic Stimulation; D000328:Adult; D000367:Age Factors; D000368:Aged; D003054:Cochlear Implants; D003071:Cognition; D004867:Equipment Design; D006801:Humans; D008875:Middle Aged; D046709:Pattern Recognition, Physiological; D010700:Phonetics; D021641:Recognition, Psychology; D012016:Reference Values; D017603:Signal Detection, Psychological; D012815:Signal Processing, Computer-Assisted; D013061:Speech Acoustics; D013067:Speech Perception; D049250:Speech Recognition Software; D013997:Time Factors; D055815:Young Adult