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Modeling sound-source localization in sagittal planes for human listeners.

Robert Baumgartner1, Piotr Majdak1, Bernhard Laback1

  • 1Acoustics Research Institute, Austrian Academy of Sciences, Wohllebengasse 12-14, A-1040 Vienna, Austria.

The Journal of the Acoustical Society of America
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Summary

This study introduces a new model for sound localization using head-related transfer functions (HRTFs). The model accurately predicts human hearing performance in sagittal planes, enhancing virtual acoustics and hearing devices.

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Area of Science:

  • Auditory Neuroscience
  • Acoustics
  • Psychoacoustics

Background:

  • Monaural spectral features are crucial for human sound localization in sagittal planes, including front-back discrimination and elevation perception.
  • These features arise from acoustic filtering by individual listener morphology, quantified by listener-specific head-related transfer functions (HRTFs).

Purpose of the Study:

  • To propose a probabilistic, functional model of sagittal-plane sound localization based on human listeners' HRTFs.
  • To approximate spectral auditory processing and account for listener-specific acoustic and non-acoustic factors.
  • To predict localization performance beyond the median plane and validate against psychoacoustic measures.

Main Methods:

  • Development of a probabilistic, functional model integrating listener-specific HRTFs.
  • Approximation of spectral auditory processing within the model.
  • Validation of the model's predictive power under diverse experimental conditions.

Main Results:

  • The model successfully predicted the effects of various factors on localization performance, including band limitation, spectral warping, non-individualized HRTFs, spectral resolution, spectral ripples, and high-frequency attenuation.
  • Key model components, such as positive spectral gradient extraction, sensorimotor mapping, and binaural weighting, were evaluated.
  • The model demonstrated predictive accuracy for psychoacoustic measures of localization.

Conclusions:

  • The listener-specific modeling approach provides a robust framework for understanding and predicting sagittal-plane sound localization.
  • The model has potential applications in virtual acoustics and the development of hearing assistive devices.
  • Further research can explore the detailed functionalities of model components for enhanced auditory perception predictions.