Automatic environmental noise source classification model using fuzzy logic

Authors:
Burak Uzkent;Buket D. Barkana;Jidong Yang
Affiliations:
School of Engineering, University of Bridgeport, 221 University Ave., Bridgeport, CT 06604, USA;School of Engineering, University of Bridgeport, 221 University Ave., Bridgeport, CT 06604, USA;School of Engineering, University of Bridgeport, 221 University Ave., Bridgeport, CT 06604, USA
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

Noise classification is very important nowadays. Fuzzy logic has been applied to many interesting problems in different areas including noise identification/recognition. With this study, we propose an automatic environmental noise source classifier based on fuzzy logic. The proposed classifier uses the feature parameters that are extracted using short-time auto-correlation function. Six commonly encountered non-stationary noise sources are chosen to recognize. These are subway, airport, inside car, inside train, restaurant, and rain. Classification accuracy of the proposed classifier ranged from 62% to 90% rates.