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

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      Author
      Can, Gökmen
      Akbaş, Cem Emre
      Çetin, A. Enis
      Date
      2017-08-09
      Source Title
      25th European Signal Processing Conference, EUSIPCO 2017
      Publisher
      IEEE
      Pages
      1794 - 1798
      Language
      English
      Type
      Conference Paper
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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.
      Keywords
      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
      Permalink
      http://hdl.handle.net/11693/37531
      Published Version (Please cite this version)
      http://dx.doi.org/10.23919/EUSIPCO.2017.8081518
      Collections
      • Department of Computer Engineering 1410
      • Department of Electrical and Electronics Engineering 3601
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