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Modeling the precedence effect for speech using the gamma filter.

Odelia Schwartz1, John G Harris, Jose C Principe

  • 1University of Florida, Computer Science and Engineering, Gainsville, USA

Neural Networks : the Official Journal of the International Neural Network Society
|March 29, 2003
PubMed
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This study simulates the precedence effect in speech, crucial for sound localization in reverberant environments. A novel gamma filter enhances signal onsets, improving sound perception models.

Area of Science:

  • Auditory neuroscience
  • Signal processing
  • Acoustics

Background:

  • The human auditory system can localize sound sources even in reverberant conditions.
  • The precedence effect explains how the brain prioritizes direct sound over reflections for perceived location.
  • Prior models primarily used simple sounds like clicks, limiting applicability to complex signals like speech.

Purpose of the Study:

  • To develop and test a computer simulation of the precedence effect specifically for speech signals.
  • To investigate the role of signal onset in triggering the precedence effect.
  • To introduce and evaluate a novel onset enhancement method using gamma filters.

Main Methods:

  • Computer simulation using MATLAB.
  • Testing with speech signals from the TIMIT database.

Related Experiment Videos

  • Implementation of a novel onset enhancement technique utilizing gamma filters, with both fixed and adaptive coefficients.

    • Main Results:

    • The simulation successfully demonstrated the precedence effect on speech signals.
    • The gamma filter-based onset enhancement method proved effective.
    • The adaptive framework of the gamma filter showed potential for enhancing onsets and reducing signal steady-state portions.

    Conclusions:

    • The developed model accurately simulates the precedence effect for speech.
    • The novel gamma filter method offers an effective approach to onset enhancement in auditory signal processing.
    • Adaptive signal processing holds promise for improving models of auditory perception.