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An ideal-observer model of human sound localization
by
Reijniers, J.
, Jin, C.
, Vanderelst, D.
, Carlile, S.
, Peremans, H.
in
Acoustic Stimulation
/ Acoustics
/ Audition
/ Bayes Theorem
/ Bayesian analysis
/ Bioinformatics
/ Biological and medical sciences
/ Biomedical and Life Sciences
/ Biomedicine
/ Complex Systems
/ Computer Appl. in Life Sciences
/ Computer Simulation
/ Cues
/ Cybernetics
/ Ear and associated structures. Auditory pathways and centers. Hearing. Vocal organ. Phonation. Sound production. Echolocation
/ Ears & hearing
/ Fundamental and applied biological sciences. Psychology
/ Human
/ Humans
/ Information processing
/ Localization
/ Mathematical models
/ Models, Psychological
/ Neurobiology
/ Neurosciences
/ Optimization
/ Original Paper
/ Perception
/ Position (location)
/ Psychoacoustics
/ Psychology. Psychoanalysis. Psychiatry
/ Psychology. Psychophysiology
/ Sensory perception
/ Signal-To-Noise Ratio
/ Sound localization
/ Sound Localization - physiology
/ Vertebrates: nervous system and sense organs
2014
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An ideal-observer model of human sound localization
by
Reijniers, J.
, Jin, C.
, Vanderelst, D.
, Carlile, S.
, Peremans, H.
in
Acoustic Stimulation
/ Acoustics
/ Audition
/ Bayes Theorem
/ Bayesian analysis
/ Bioinformatics
/ Biological and medical sciences
/ Biomedical and Life Sciences
/ Biomedicine
/ Complex Systems
/ Computer Appl. in Life Sciences
/ Computer Simulation
/ Cues
/ Cybernetics
/ Ear and associated structures. Auditory pathways and centers. Hearing. Vocal organ. Phonation. Sound production. Echolocation
/ Ears & hearing
/ Fundamental and applied biological sciences. Psychology
/ Human
/ Humans
/ Information processing
/ Localization
/ Mathematical models
/ Models, Psychological
/ Neurobiology
/ Neurosciences
/ Optimization
/ Original Paper
/ Perception
/ Position (location)
/ Psychoacoustics
/ Psychology. Psychoanalysis. Psychiatry
/ Psychology. Psychophysiology
/ Sensory perception
/ Signal-To-Noise Ratio
/ Sound localization
/ Sound Localization - physiology
/ Vertebrates: nervous system and sense organs
2014
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An ideal-observer model of human sound localization
by
Reijniers, J.
, Jin, C.
, Vanderelst, D.
, Carlile, S.
, Peremans, H.
in
Acoustic Stimulation
/ Acoustics
/ Audition
/ Bayes Theorem
/ Bayesian analysis
/ Bioinformatics
/ Biological and medical sciences
/ Biomedical and Life Sciences
/ Biomedicine
/ Complex Systems
/ Computer Appl. in Life Sciences
/ Computer Simulation
/ Cues
/ Cybernetics
/ Ear and associated structures. Auditory pathways and centers. Hearing. Vocal organ. Phonation. Sound production. Echolocation
/ Ears & hearing
/ Fundamental and applied biological sciences. Psychology
/ Human
/ Humans
/ Information processing
/ Localization
/ Mathematical models
/ Models, Psychological
/ Neurobiology
/ Neurosciences
/ Optimization
/ Original Paper
/ Perception
/ Position (location)
/ Psychoacoustics
/ Psychology. Psychoanalysis. Psychiatry
/ Psychology. Psychophysiology
/ Sensory perception
/ Signal-To-Noise Ratio
/ Sound localization
/ Sound Localization - physiology
/ Vertebrates: nervous system and sense organs
2014
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Journal Article
An ideal-observer model of human sound localization
2014
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Overview
In recent years, a great deal of research within the field of sound localization has been aimed at finding the acoustic cues that human listeners use to localize sounds and understanding the mechanisms by which they process these cues. In this paper, we propose a complementary approach by constructing an ideal-observer model, by which we mean a model that performs optimal information processing within a Bayesian context. The model considers all available spatial information contained within the acoustic signals encoded by each ear. Parameters for the optimal Bayesian model are determined based on psychoacoustic discrimination experiments on interaural time difference and sound intensity. Without regard as to how the human auditory system actually processes information, we examine the best possible localization performance that could be achieved based only on analysis of the input information, given the constraints of the normal auditory system. We show that the model performance is generally in good agreement with the actual human localization performance, as assessed in a meta-analysis of many localization experiments (Best et al. in Principles and applications of spatial hearing, pp 14–23. World Scientific Publishing, Singapore,
2011
). We believe this approach can shed new light on the optimality (or otherwise) of human sound localization, especially with regard to the level of uncertainty in the input information. Moreover, the proposed model allows one to study the relative importance of various (combinations of) acoustic cues for spatial localization and enables a prediction of which cues are most informative and therefore likely to be used by humans in various circumstances.
Publisher
Springer Berlin Heidelberg,Springer,Springer Nature B.V
Subject
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