Source:http://linkedlifedata.com/resource/pubmed/id/10573893
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lifeskim:mentions |
umls-concept:C0020205,
umls-concept:C0028263,
umls-concept:C0180860,
umls-concept:C0439825,
umls-concept:C0581406,
umls-concept:C0750572,
umls-concept:C0936012,
umls-concept:C1522664,
umls-concept:C1527178,
umls-concept:C1546637,
umls-concept:C1550638,
umls-concept:C1704449,
umls-concept:C1704684,
umls-concept:C1705938,
umls-concept:C1979963,
umls-concept:C2003903
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pubmed:issue |
5
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pubmed:dateCreated |
1999-12-13
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pubmed:abstractText |
Auditory filter bandwidths were estimated in three experiments. The first experiment was a profile-analysis experiment. The stimuli were composed of sinusoidal components ranging in frequency from 200 to 5000 Hz. The standard stimulus was the sum of equal-amplitude tones, and the signal stimulus had a power spectrum that varied up-down ... up-down. The number of components ranged from four to 60. Interval-by-interval level randomization prevented the change in level of a single component from reliably indicating the change from standard to signal. The second experiment was a notched-noise experiment in which the 1000-Hz tone to be detected was added to a noise with a notch arithmetically centered at 1000 Hz. Detection thresholds were estimated both in the presence of and in the absence of level randomization. In the third, hybrid, experiment a 1000-Hz tone was to be detected, and the masker was composed of equal-amplitude sinusoidal components ranging in frequency from 200 to 5000 Hz. For this experiment, thresholds were estimated both in the presence and absence of level variation. For both the notched-noise and hybrid experiments, only modest effects of level randomization were obtained. A variant of Durlach et al.'s channel model ["Towards a model for discrimination of broadband signals," J. Acoust. Soc. Am. 80, 63-72 (1986)] was used to estimate auditory filter bandwidths for all three experiments. When a two-parameter roex(p,r) filter weighting function was used to fit the data, bandwidth estimates were approximately two to three times as large for the two detection tasks than for the profile-analysis task.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
0001-4966
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
106
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
2779-92
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading | |
pubmed:year |
1999
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pubmed:articleTitle |
Different auditory filter bandwidth estimates based on profile analysis, notched noise, and hybrid tasks.
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pubmed:affiliation |
Department of Bioengineering, University of Pennsylvania, Philadelphia 19104, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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