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Automatic environmental noise source classification model using fuzzy logic
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DOI：10.1016/j.eswa.2011.01.084.png)
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Abstract
En 中文
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. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords:
Fuzzy logic
ACF feature parameters
Environmental noise recognition
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