Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification
Date
2017-08-09
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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. © EURASIP 2017.
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25th European Signal Processing Conference, EUSIPCO 2017
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IEEE
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Hyperbolic tangent function, Scattering filter-bank, Timefrequency representation, Vessel sound classification, Classification (of information), Filter banks, Hyperbolic functions, Image retrieval, Signal processing, Speech recognition, Support vector machines, Vectors, Classification results, Feature extraction methods, Hyperbolic tangent function, Mel frequencies, Mel-frequency cepstral coefficients, Sound classification, Time-frequency representations, Two-channel filter banks, Acoustic wave scattering
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English