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Related Experiment Videos

Auditory space expansion via linear filtering.

B D Van Veen1, R L Jenison

  • 1Department of Electrical and Computer Engineering, University of Wisconsin, Madison 53706-1691.

The Journal of the Acoustical Society of America
|July 1, 1991
PubMed
Summary
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This study introduces a novel signal-processing algorithm to precisely control sound directionality by adjusting interaural time delays. The method effectively modifies spatial audio perception for both single and multiple sound sources.

Area of Science:

  • Acoustics
  • Signal Processing
  • Auditory Perception

Background:

  • Accurate control of interaural time delays (ITDs) is crucial for spatial audio and auditory perception.
  • Existing methods may have limitations in handling complex acoustic environments or multiple sound sources.
  • A need exists for flexible and effective algorithms to manipulate directional audio signals.

Purpose of the Study:

  • To develop and describe a novel signal-processing algorithm for modifying interaural time delays of directional sound sources.
  • To design linear filters that minimize the error between desired and implemented spatial warping functions.
  • To explore the application of this algorithm to both unconstrained and causal finite impulse response filters.

Main Methods:

  • Utilized a lattice filter configuration with four linear filters to process signals from two microphones.

Related Experiment Videos

  • Designed filters using a least-squares approach to minimize the squared error of the space warping function.
  • Investigated both unconstrained and causal finite impulse response filter designs.
  • Main Results:

    • The algorithm successfully modifies interaural time delays, enabling precise control over perceived sound directionality.
    • The effectiveness of the proposed signal processing method was validated through perceptual experiments and acoustic waveform analysis.
    • The study examined the properties of the resulting space warping functions for different filter types.

    Conclusions:

    • The developed signal-processing algorithm provides an effective means for manipulating spatial audio cues.
    • The linear processing approach is robust and applicable to scenarios involving single or multiple directional sound sources.
    • The method shows potential for extension to systems employing more than two microphones for enhanced spatial audio.