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JACIII Vol.21 No.2 pp. 205-210
doi: 10.20965/jaciii.2017.p0205
(2017)

Paper:

Fuzzy Logic System for Abnormal Audio Event Detection Using Mel Frequency Cepstral Coefficients

Cristina P. Dadula and Elmer P. Dadios

De La Salle University
2401 Taft Avenue, Malate, Manila 1004, Philippines

Received:
July 20, 2016
Accepted:
October 14, 2016
Online released:
March 15, 2017
Published:
March 20, 2017
Keywords:
audio processing, audio event detection, fuzzy logic system, MFCC
Abstract

This paper presents a fuzzy logic system for audio event detection using mel frequency cepstral coefficients (MFCC). Twelve MFCC of audio samples were analyzed. The range of values of MFCC were obtained including its histogram. These values were normalized so that its minimum and maximum values lie between 0 and 1. Rules were formulated based on the histogram to classify audio samples as normal, gunshot, or crowd panic. Five MFCC were chosen as input to the fuzzy logic system. The membership functions and rules of the fuzzy logic system are defined based on the normalized histograms of MFCC. The system was tested with a total of 150 minutes of normal sounds from different buses and 72 seconds audio clips abnormal sounds. The designed fuzzy logic system was able to classify audio events with an average accuracy of 99.4%.

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Last updated on Sep. 21, 2017