A statistical model of horizontal auditory localization performance data

Garnett P. McMillan; Gabrielle Saunders; Timothy E. Hanson

doi:10.1121/1.3571536

A statistical model of horizontal auditory localization performance data

Garnett P. McMillan
, Gabrielle Saunders
, Timothy E. Hanson

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Horizontal localization experiments are used to evaluate the listener's ability to locate the position of a sound source, and determine how signal characteristics affect this ability. These experiments generate circular, bimodal, and repeated data that are challenging to statistically analyze. A two-part mixture of wrapped Cauchys is proposed for these data, with the effects of signal type and position on localization bias, precision, and front-back confusion modeled using regression. The model is illustrated using mid- (1.0-2.0 kHz) and high- (3.0-6.0 kHz) frequency narrow band noises localization collected among ten normal hearing listeners.

Original language	English (US)
Pages (from-to)	EL229-EL235
Journal	Journal of the Acoustical Society of America
Volume	129
Issue number	6
DOIs	https://doi.org/10.1121/1.3571536
State	Published - Jun 1 2011
Externally published	Yes

Funding

This work was supported by the Department of Veterans Affairs, Veterans Health Administration Rehabilitation Research, and Development Grant #3040.The authors would like to thank Anna Forsline, M.A., and M. Samantha Lewis, Ph.D. for their assistance with data collection. The contents of this article do not necessarily represent the views of the U.S. Department of Veterans Affairs or the United States Government.

Funders	Funder number
Veterans Health Administration Rehabilitation Research	3040
U.S. Department of Veterans Affairs

ASJC Scopus subject areas

Arts and Humanities (miscellaneous)
Acoustics and Ultrasonics

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10.1121/1.3571536

Cite this

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abstract = "Horizontal localization experiments are used to evaluate the listener's ability to locate the position of a sound source, and determine how signal characteristics affect this ability. These experiments generate circular, bimodal, and repeated data that are challenging to statistically analyze. A two-part mixture of wrapped Cauchys is proposed for these data, with the effects of signal type and position on localization bias, precision, and front-back confusion modeled using regression. The model is illustrated using mid- (1.0-2.0 kHz) and high- (3.0-6.0 kHz) frequency narrow band noises localization collected among ten normal hearing listeners.",

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A statistical model of horizontal auditory localization performance data

Abstract

Funding

ASJC Scopus subject areas

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