title: A statistical model of horizontal auditory localization performance data.
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.
authors.affiliation: National Center for Rehabilitative Auditory Research, Veterans Affairs Medical Center, 3710 Southwest US Veterans Hospital Road, Portland, Oregon 97239, USA. garnett.mcmillan@va.gov
authors.forename: Garnett P
authors.initials: GP
authors.lastname: McMillan
authors.forename: Gabrielle
authors.initials: G
authors.lastname: Saunders
authors.forename: Timothy E
authors.initials: TE
authors.lastname: Hanson
mesh_terms: D000161:Acoustic Stimulation; D001299:Audiometry; D001306:Auditory Pathways / Q000502:physiology*; D001307:Auditory Perception; D001309:Auditory Threshold; D015982:Bias; D006801:Humans; D015233:Models, Statistical; D011571:Psychoacoustics; D012044:Regression Analysis; D017603:Signal Detection, Psychological; D013017:Sound Localization