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Related Experiment Video

Updated: Jun 3, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Bayesian active sound localisation: To what extent do humans perform like an ideal-observer?

Glen McLachlan1, Piotr Majdak2, Jonas Reijniers1

  • 1Department of Engineering Management, University of Antwerp, Antwerp, Belgium.

Plos Computational Biology
|January 8, 2025
PubMed
Summary
This summary is machine-generated.

Human sound localization relies on integrating head movements with auditory cues. An ideal observer model partially predicted performance but found human sound localization to be sub-optimal, especially with head orientation uncertainty.

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Area of Science:

  • Auditory Neuroscience
  • Human Perception
  • Computational Auditory Scene Analysis

Background:

  • Sound localization relies on head-centered acoustic cues.
  • Sensorimotor information about head orientation is crucial for world-centered sound perception.
  • Head movements reduce directional ambiguity in sound localization.

Purpose of the Study:

  • To model human active sound localization using an ideal observer approach.
  • To compare Bayesian model predictions with human performance in a free-field experiment.
  • To investigate the impact of head orientation uncertainty on sound localization accuracy.

Main Methods:

  • Developed a Bayesian ideal observer model for active sound localization.
  • Incorporated sensorimotor information of head orientation.
  • Conducted a free-field active localization experiment with human participants.
  • Compared model predictions with empirical human performance data.

Main Results:

  • Model predictions generally agreed with human performance.
  • Spatial analysis revealed discrepancies between the ideal observer and human behavior for specific source directions.
  • Uncertainty in head orientation significantly contributed to observed differences.
  • Human responses exhibited biases and spatial distributions not fully explained by the ideal observer model.

Conclusions:

  • Human sound localization, while generally effective, appears to be sub-optimal.
  • Head orientation uncertainty is a key factor influencing localization accuracy.
  • The ideal observer model provides insights but does not fully capture the complexities of human active sound localization.