Jessica Rossi-Katz

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This study compared how normal-hearing listeners (NH) and listeners with moderate to moderately severe cochlear hearing loss (HI) use and combine information within and across frequency regions in the perceptual separation of competing vowels with fundamental frequency differences (deltaF0) ranging from 0 to 9 semitones. Following the procedure of Culling(More)
PURPOSE In this study, the authors investigated (a) the effects of task, vocal distinctiveness of the competing talkers, and meaningfulness of the competitor on older listeners' identification of a target in the presence of competition and (b) the factors that are most predictive of the variability in target identification observed among older listeners. (More)
This study presents 2 experiments investigating whether listeners with cochlear hearing loss (hearing impaired; HI) and listeners with normal hearing (NH) show differential susceptibility to masking in double-vowel identification. Experiment 1 addressed how double-vowel perception changes as a function of differences in fundamental frequency (deltaF0) of 0(More)
This paper describes a new noise suppression scheme with the goal of improving speech-in-noise perception for hearing-impaired listeners. Following the work of Tsoukalas et al. (1997) [4], Arehart et al (2003) [3] implemented and evaluated a noise suppression algorithm based on an approach that used the auditory masked threshold in conjunction with a(More)
This study describes a new noise suppression scheme for hearing aid applications based on the auditory masking threshold (AMT) in conjunction with a modified generalized minimum mean square error estimator (GMMSE) for individual subjects with hearing loss. The representation of cochlear frequency resolution is achieved in terms of auditory filter equivalent(More)
In calculating the auditory masking threshold (AMT), it is necessary to adjust the excitation pattern of the clean signal to account for the asymmetry of masking between tone-like and noise-like signals. One approach that estimates the asymmetry of masking is the signal's tonality. The tonality assumptions were originally formulated for use in MPEG-4 audio(More)
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