Document Detail


Excitation-based and informational masking of a tonal signal in a four-tone masker.
MedLine Citation:
PMID:  20370027     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study examined contributions of peripheral excitation and informational masking to the variability in masking effectiveness observed across samples of multi-tonal maskers. Detection thresholds were measured for a 1000-Hz signal presented simultaneously with each of 25, four-tone masker samples. Using a two-interval, forced-choice adaptive task, thresholds were measured with each sample fixed throughout trial blocks for ten listeners. Average thresholds differed by as much as 26 dB across samples. An excitation-based model of partial loudness [Moore, B. C. J. et al. (1997). J. Audio Eng. Soc. 45, 224-237] was used to predict thresholds. These predictions accounted for a significant portion of variance in the data of several listeners, but no relation between the model and data was observed for many listeners. Moreover, substantial individual differences, on the order of 41 dB, were observed for some maskers. The largest individual differences were found for maskers predicted to produce minimal excitation-based masking. In subsequent conditions, one of five maskers was randomly presented in each interval. The difference in performance for samples with low versus high predicted thresholds was reduced in random compared to fixed conditions. These findings are consistent with a trading relation whereby informational masking is largest for conditions in which excitation-based masking is smallest.
Authors:
Lori J Leibold; Jack J Hitchens; Emily Buss; Donna L Neff
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  The Journal of the Acoustical Society of America     Volume:  127     ISSN:  1520-8524     ISO Abbreviation:  J. Acoust. Soc. Am.     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-04-07     Completed Date:  2010-07-06     Revised Date:  2012-01-09    
Medline Journal Info:
Nlm Unique ID:  7503051     Medline TA:  J Acoust Soc Am     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2441-50     Citation Subset:  IM    
Affiliation:
Department of Allied Health Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. leibold@med.unc.edu
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MeSH Terms
Descriptor/Qualifier:
Acoustic Stimulation
Adult
Audiometry
Auditory Threshold
Humans
Loudness Perception*
Models, Biological
Perceptual Masking*
Pitch Perception*
Signal Detection, Psychological*
Young Adult
Grant Support
ID/Acronym/Agency:
R01 DC007391/DC/NIDCD NIH HHS; R01 DC007391-07/DC/NIDCD NIH HHS; R03 DC008389/DC/NIDCD NIH HHS
Comments/Corrections

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