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A COMPUTATIONAL SOFTWARE FOR NOISE MEASUREMENT AND TOWARD ITS IDENTIFICATION

Authors
Journal
Journal of Sound and Vibration
0022-460X
Publisher
Elsevier
Publication Date
Volume
241
Issue
1
Identifiers
DOI: 10.1006/jsvi.2000.3273
Disciplines
  • Computer Science
  • Design
  • Ecology
  • Geography

Abstract

Abstract The computational system outlined here is based on a model of the human auditory– brain system including the autocorrelation and interaural crosscorrelation mechanisms, and the specialization of the cerebral hemispheres [1]. It consists of a binaural receiver, a laptop computer, and software designed to measure the physical factors of noise fields and to identify environmental noise. The temporal factors τ e , τ 1 , and φ 1as well as Φ (0), are extracted from the autocorrelation function (ACF) of the noise source, and the spatial factors LL, IACC, τ IACC , and W IACC are extracted from the interaural crosscorrelation function (IACF). These factors may be utilized for subjective evaluations of a source of noise and a noise field.

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