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Related Experiment Videos

External ear transfer function modeling: a beamforming approach.

J Chen1, B D Van Veen, K E Hecox

  • 1Department of Electrical and Computer Engineering, University of Wisconsin-Madison 53706.

The Journal of the Acoustical Society of America
|October 1, 1992
PubMed
Summary
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This study introduces a beamformer as a functional model for the external ear's filtering capabilities. The model accurately replicates and interpolates cat ear responses, demonstrating its effectiveness in bioacoustics research.

Area of Science:

  • Bioacoustics
  • Signal Processing
  • Auditory System Modeling

Background:

  • The external ear plays a crucial role in spatial and temporal filtering of sound.
  • Understanding these filtering characteristics is essential for auditory perception and modeling.

Purpose of the Study:

  • To propose a beamformer as a functional model for the external ear's spatial and temporal filtering.
  • To develop a method for optimizing beamformer parameters to match measured ear responses.
  • To validate the model's effectiveness using experimental data from a cat's external ear.

Main Methods:

  • A beamformer was designed as a weighted combination of signals from spatially distributed sensors.
  • A procedure was implemented to select beamformer weights minimizing the mean-squared error against measured external ear responses.

Related Experiment Videos

  • The model's performance was evaluated by its ability to replicate and interpolate measured cat ear responses across frequencies and directions.

    • Main Results:

    • The proposed beamformer successfully modeled the spatial and temporal filtering characteristics of the external ear.
    • A beamformer with several hundred weights accurately duplicated and interpolated measured cat ear responses.
    • The model demonstrated effectiveness over broad frequency and directional ranges.

    Conclusions:

    • Beamformers can serve as effective functional models for the external ear's filtering properties.
    • The developed weight optimization procedure allows for accurate bioacoustic modeling.
    • This approach offers a novel method for studying and replicating auditory system functions.