Automatic classification of environmental noise sources by statistical methods

Christophe Couvreur, Yoram Bresler

Research output: Contribution to journalArticle

Abstract

This paper shows how the tools of statistical pattern recognition can be used to create an "intelligent" noise monitoring system able to distinguish between the acoustic signals of different types of environmental noise sources, e.g., airplanes, cars, or trucks. The basics of statistical pattern recognition theory are reviewed in a tutorial fashion and illustrated on simple acoustical noise recognition examples. Guidelines for the design, training, and utilization of a pattern classification system are provided. The pitfalls of an intuitive, heuristic approach to these tasks are highlighted. Experimental results obtained by an automatic noise recognition system based on a statistical pattern recognition framework are presented. Finally, possible improvements of this system which are currently being investigated further are discussed.

Original languageEnglish (US)
Pages (from-to)167-182
Number of pages16
JournalNoise Control Engineering Journal
Volume46
Issue number4
DOIs
StatePublished - 1998

ASJC Scopus subject areas

  • Building and Construction
  • Automotive Engineering
  • Aerospace Engineering
  • Acoustics and Ultrasonics
  • Mechanical Engineering
  • Public Health, Environmental and Occupational Health
  • Industrial and Manufacturing Engineering

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