Automatic environmental noise source classification model using fuzzy logic

作者：Uzkent Burak; Barkana Buket D^*; Yang Jidong

来源：Expert Systems with Applications, 2011, 38(7): 8751-8755.

DOI：10.1016/j.eswa.2011.01.084

• Fuzzy logic
• ACF feature parameters
• Environmental noise recognition

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.

• 出版日期2011-7