1976
DOI: 10.1121/1.381219
|View full text |Cite
|
Sign up to set email alerts
|

Model for auditory localization

Abstract: A mathematical model based on statistical decision theory has been devised to represent the human auditory localization task. The known localization cues have been represented as Gaussian random variables, so that their interaction in a given experiment can be analyzed (and predicted) along the lines of classical detection/estimation theory. We have applied this technique to most of the horizontal and vertical localization experiments reported in the literature during the past ten years, encompassing over 200 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
38
0

Year Published

1983
1983
2008
2008

Publication Types

Select...
5
4
1

Relationship

1
9

Authors

Journals

citations
Cited by 128 publications
(39 citation statements)
references
References 10 publications
1
38
0
Order By: Relevance
“…(For simplicity, we employ the early version of our context-eoding model, as described in Durlach & Braida, 1969, rather than the revised version based on perceptual anchors, described in Braida et al, 1984. ) This model, originally proposed in connection with the study of intensity perception in audition, has also been successfully applied to the azimuth dimension in auditory localization (Searle, Colburn, Davis, & Braida, 1976), to several dimensions that distinguish speech sounds (Macmillan, 1987), and to length resolution in manual manipulation of objects (Durlach et al, 1989).…”
Section: Extension Of Model To One-dimensional Resolution Experimentsmentioning
confidence: 99%
“…(For simplicity, we employ the early version of our context-eoding model, as described in Durlach & Braida, 1969, rather than the revised version based on perceptual anchors, described in Braida et al, 1984. ) This model, originally proposed in connection with the study of intensity perception in audition, has also been successfully applied to the azimuth dimension in auditory localization (Searle, Colburn, Davis, & Braida, 1976), to several dimensions that distinguish speech sounds (Macmillan, 1987), and to length resolution in manual manipulation of objects (Durlach et al, 1989).…”
Section: Extension Of Model To One-dimensional Resolution Experimentsmentioning
confidence: 99%
“…The actual direction of motion of the probe tones presented over headphones might result in a poor representation of the auditory system's response to real environmental sounds in motion. Not only is the spectral content of tones quite restricted compared to that of natural stimuli, but presenting the stimuli through headphones automatically eliminates many cues that are known to be important in human auditory spatial processing (e.g., Searle, Braida, Davis, & Colburn, 1976).…”
Section: Methodsmentioning
confidence: 99%
“…A related point has been noted before; Searle, Braida, Davis, and Colburn (1976) modeled the effect ofchanges in the area spanned by arrays of loudspeakers (hence, the response choices available) on the localization error to be expected. One outcome that underscores this point and raises further questions is the differential effect of the two different orientations on cross-plane errors.…”
Section: Actual Elevation In Degreesmentioning
confidence: 99%