JOURNAL ARTICLE

Spectral-peak selection in spectral-shape discrimination by normal-hearing and hearing-impaired listeners

Jennifer J. Lentz

Year: 2006 Journal:   The Journal of the Acoustical Society of America Vol: 120 (2)Pages: 945-956   Publisher: Acoustical Society of America

Abstract

Spectral-shape discrimination thresholds were measured in the presence and absence of noise to determine whether normal-hearing and hearing-impaired listeners rely primarily on spectral peaks in the excitation pattern when discriminating between stimuli with different spectral shapes. Standard stimuli were the sum of 2, 4, 6, 8, 10, 20, or 30 equal-amplitude tones with frequencies fixed between 200 and 4000Hz. Signal stimuli were generated by increasing and decreasing the levels of every other standard component. The function relating the spectral-shape discrimination threshold to the number of components (N) showed an initial decrease in threshold with increasing N and then an increase in threshold when the number of components reached 10 and 6, for normal-hearing and hearing-impaired listeners, respectively. The presence of a 50-dB SPL/Hz noise led to a 1.7dB increase in threshold for normal-hearing listeners and a 3.5dB increase for hearing-impaired listeners. Multichannel modeling and the relatively small influence of noise suggest that both normal-hearing and hearing-impaired listeners rely on the peaks in the excitation pattern for spectral-shape discrimination. The greater influence of noise in the data from hearing-impaired listeners is attributed to a poorer representation of spectral peaks.

Keywords:
Hearing impaired Acoustics Audiology Selection (genetic algorithm) Spectral shape analysis Mathematics Physics Computer science Medicine Spectral line Artificial intelligence

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12
Cited By
0.29
FWCI (Field Weighted Citation Impact)
39
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hearing Loss and Rehabilitation
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Hearing, Cochlea, Tinnitus, Genetics
Life Sciences →  Neuroscience →  Sensory Systems

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