A statistical model of horizontal auditory localization performance data

Garnett P McMillan, Gabrielle Saunders, Timothy E Hanson

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)EL229–EL235
Number of pages7
JournalThe Journal of the Acoustical Society of America
Volume129
Issue number6
Early online date11 May 2011
DOIs
Publication statusPublished - Jun 2011

Keywords

  • acoustic stimulation
  • audiometry
  • auditory pathways/physiology
  • auditory perception
  • auditory threshold
  • bias
  • humans
  • models, statistical
  • psychoacoustics
  • regression analysis
  • signal detection, psychological
  • sound localization

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