Automatic detection system of aircraft noise events during acoustic climate long-term monitoring near airport

The paper presents a method and software application of automatic identification of aircraft noise sources in the long-term environment acoustic monitoring systems. The said method relies on automatic “meaning” of sounds recorded by the one measuring microphone (part of a monitoring station) and refer to the advanced pattern recognition technique based on the human auditory perceptions by using mel frequency cepstral coefficients (MFCC) of signals. The algorithm was developed in MATLAB language and implemented in National Instrument LabVIEW Environment as Aircraft Noise Events Detector (ANED) application.