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Related Experiment Videos

A model of auditory pattern analysis based on component-relative-entropy

R A Lutfi1

  • 1Department of Communicative Disorders, University of Wisconsin, Madison 53706.

The Journal of the Acoustical Society of America
|August 1, 1993
PubMed
Summary

Human auditory perception of tone patterns improves with component relative entropy (CoRE). A one-bit increase in CoRE reduces detection thresholds by tenfold, explaining various experimental findings.

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Area of Science:

  • Auditory Perception
  • Information Theory
  • Psychophysics

Background:

  • Detection and information theory have informed human observer performance in discriminating changes in tone patterns.
  • Previous studies explored component discriminability in unfamiliar tone patterns.

Purpose of the Study:

  • To expand theoretical analysis of auditory pattern perception.
  • To establish a general rule for pattern analysis based on component relative entropy (CoRE).

Main Methods:

  • Reviewing 18 years of experimental results on tone pattern discrimination.
  • Applying information theory principles, specifically component relative entropy (CoRE).

Main Results:

  • A general rule was formulated: Component discriminability increases linearly with CoRE.

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  • A tenfold decrease in detection threshold was observed for each one-bit increase in CoRE.
  • The CoRE rule explained the impact of pattern duration, tone number, and presentation methods.

    • Conclusions:

    • The CoRE rule provides a unified explanation for a wide range of auditory discrimination findings.
    • Auditory analysis prioritizes features with high variance within a pattern.
    • This principle likely applies to general pattern perception in auditory ensembles.