Acoustic Signal based Feature extraction for Vehicular Classiflcation
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Date
2010
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Abstract
Acoustic signal classification consists of extracting
the features from a sound, and of using these features to
identify classes the sound is liable to fit.. Different types of
noise coming from different vehicles mix in the environment
and identifying a particular vehicle is a challenging one.
Feature Extraction is done to identify the characteristic of the
vehicle. The characteristic of each vehicle will be used to detect
its presence and classify its type. Six different features of the
vehicle acoustic signals are calculated and then further utilized
as input to the classification system. These features include
Signal Energy, Energy Entropy, Zero-Crossing Rate, Spectral
Roll-Off, Spectral Centroid and Spectral Flux. All these
features are extracted from each and every acoustic signal of
the vehicles.