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Journal ArticleDOI

Model for auditory localization

TLDR
Using a nonlinear regression program, the standard deviations of four of the auditory localization cues are estimated, allowing objective comparison of their relative accuracy.
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 subjects and 20 000 trials. Using a nonlinear regression program we have been able to estimate the standard deviations of four of the auditory localization cues, allowing objective comparison of their relative accuracy. The resulting model provides a relatively good fit to the published results on 40 localization experiments.Subject Classification: [43]65.62, [43]65.58, [43]65.35.

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Citations
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Proceedings ArticleDOI

Techniques for low cost spatial audio

TL;DR: This paper describes an efficient spatialization technique and the associated computational requirements and describes the design of a network server for spatial audio that can support a number of users at modest cost.
Journal ArticleDOI

Available response choices affect localization of sound

TL;DR: Successful replication of an experiment by Butler and Humanski (1992) showed that listeners are able to proficiently localize sources on a lateral vertical plane on the basis of interaural differences alone.
Journal ArticleDOI

Three-dimensional auditory localization in the echolocating bat.

TL;DR: The bat achieves high spatial resolution through a biological sonar system that computes azimuth from inter-aural differences and elevation from spectral filtering by the ear to create a unified representation of 3D space.
Book ChapterDOI

The physical and psychophysical basis of sound localization

Simon Carlile
TL;DR: A growing body of evidence suggests that processing across frequency is an important feature of those mechanisms analyzing cues to sound location (monaural and binaural spectral cues) and that the time (rather than frequency) domain characteristics of the sound may also play an important role in sound localization processing.
References
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Journal ArticleDOI

A Primer of Signal Detection Theory; Table of D' and β

TL;DR: The laws of categorical and comparative judgements of signal detection have been studied in the literature as mentioned in this paper for signal detection with equal variance with equal Variances, i.e., Gaussian Distributions of Signal and Noise with Unequal Variants.
Book

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TL;DR: This book discusses Gaussian Distributions of Signal and Noise With Equal Variances, Choice Theory Approximations to Signal Detection Theory, and Threshold Theory.
Journal ArticleDOI

Factors That Influence the Localization of Sound in the Vertical Plane

TL;DR: The ability of listeners to locate sound in the vertical plane was investigated and showed that for auditory stimuli to be located accurately, the stimulus must be complex, it must include frequencies above 7000 cps, and the pinna must be present.
Journal ArticleDOI

Problem of localization in the median plane: effect of pinnae cavity occlusion.

TL;DR: It is shown that localization ability decreases with increasing occlusion, that it is better for signals in the anterior than in the posterior sector of the median plane, and that high‐frequency signal content is more important than the low.
Journal ArticleDOI

Sound Pressure Generated in an External-Ear Replica and Real Human Ears by a Nearby Point Source

TL;DR: A rubber replica has a pinna, concha, and auditory meatus with dimensions comparable with those of real human ears, and pressure distributions in the canal and concha are given for M1, M2, and three other modes.