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Automatic environmental noise source classification model using fuzzy logic

Automatic environmental noise source classification model using fuzzy logic,10.1016/j.eswa.2011.01.084,Expert Systems With Applications,Burak Uzkent,B

Automatic environmental noise source classification model using fuzzy logic   (Citations: 2)
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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.
Journal: Expert Systems With Applications - ESWA , vol. 38, no. 7, pp. 8751-8755, 2011
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