Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification
Akbaş, Cem Emre
Çetin, Ahmet Enis
25th European Signal Processing Conference, EUSIPCO 2017
1794 - 1798
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We introduce a time-frequency scattering method using hyperbolic tangent function for vessel sound classification. The sound data is wavelet transformed using a two channel filter-bank and filter-bank outputs are scattered using tanh function. A feature vector similar to mel-scale cepstrum is obtained after a wavelet packed transform-like structure approximating the mel-frequency scale. Feature vectors of vessel sounds are classified using a support vector machine (SVM). Experimental results are presented and the new feature extraction method produces better classification results than the ordinary Mel-Frequency Cepstral Coefficients (MFCC) vectors. © EURASIP 2017.
KeywordsHyperbolic tangent function
Vessel sound classification
Classification (of information)
Support vector machines
Feature extraction methods
Hyperbolic tangent function
Mel-frequency cepstral coefficients
Two-channel filter banks
Acoustic wave scattering
Published Version (Please cite this version)http://dx.doi.org/10.23919/EUSIPCO.2017.8081518
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