Pattern Analysis Based Models of Masking by Spatially Separated Sound Sources

Abstract

Research is described in three areas: masked detection, sound localization, and neural network models of sound localization. Work on masked detection indicates that substantial reductions in masking of 8 to 18 dB can be realized when the signal is spatially separated from the masker in the free- field. This reduction in masking appears to be mediated by high-frequency information. Headphone-based studies of reproducible noise masking question traditional models of binaural masking, by showing unexpected relations between responses under monaural and binaural conditions. A new response technique has been developed to support work on sound localization. Neural network models of sound localization based on binaural stimulus cues can produce responses comparable to those of human observers. Our efforts in laboratory development and in planning the Conference on Binaural and Spatial Hearing are also briefly described.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 1993
Accession Number
ADA277882

Entities

People

  • Robert H. Gilkey

Organizations

  • Wright State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Data Analysis
  • Detection
  • Earphones
  • Elevation
  • Free Field
  • Frequency
  • Frequency Bands
  • Human-Machine Interaction
  • Neural Networks
  • Observers
  • Pattern Recognition
  • Psychology
  • Signal Detection
  • Spectra
  • Universities

Fields of Study

  • Psychology

Readers

  • Acoustics.
  • Auditory Neuroscience/Auditory Physiology.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference