Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification

Gokmen Can, Cem Emre Akbas, A. Enis Çetin

Abstract: 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.

External IDs:dblp:conf/eusipco/CanAC17