Recognition of vessel acoustic signatures using non-linear teager energy based features
Author
Can, Gökmen
Akbaş, Cem Emre
Çetin, A. Enis
Date
2016-10Source Title
International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2016
Publisher
IEEE
Pages
1 - 5
Language
English
Type
Conference PaperItem Usage Stats
164
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451
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Abstract
This paper proposes a vessel recognition and classification system based on vessel acoustic signatures. Teager Energy Operator (TEO) based Mel Frequency Cepstral Coefficients (MFCC) are used for the first time in Underwater Acoustic Signal Recognition (UASR) to identify platforms the acoustic noise they generate. TEO based MFCC (TEO-MFCC), being more robust in noisy conditions than conventional MFCC, provides a better estimation platform energy. Conventionally, acoustic noise is recognized by sonar oper-ators who listen to audio signals received by ship sonars. The aim of this work is to replace this conventional human-based recognition system with a TEO-MFCC features-based classification system. TEO is applied to short-time Fourier transform (STFT) of acoustic signal frames and Mel-scale filter bank is used to obtain Mel Teager-energy spectrum. The feature vector is constructed by discrete cosine transform (DCT) of logarithmic Mel Teager-energy spectrum. Obtained spectrum is transformed into cepstral coefficients that are labeled as TEO-MFCC. This analysis and implementation are carried out with datasets of 24 different noise recordings that belong to 10 separate classes of vessels. These datasets are partially provided by National Park Service (NPS). Artificial Neural Networks (ANN) are used as a classification method. Experimental results demonstrate that TEO-MFCC achieves 99.5% accuracy in classification of vessel noises. © 2016 IEEE.
Keywords
MFCCTeager energy
Vessel recognition
Acoustic noise
Acoustic variables measurement
Acoustic waves
Artificial intelligence
Audio acoustics
Discrete cosine transforms
Neural networks
Sonar
Spectroscopy
Speech recognition
Discrete Cosine Transform(DCT)
Mel-frequency cepstral coefficients
MFCC
Short time Fourier transforms
Teager energy
Teager energy operators
Underwater acoustic signal
Vessel Recognition
Underwater acoustics
Permalink
http://hdl.handle.net/11693/37718Published Version (Please cite this version)
http://dx.doi.org/10.1109/IWCIM.2016.7801190Collections
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