Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification
Author
Can, Gökmen
Akbaş, Cem Emre
Çetin, A. Enis
Date
2017-08-09Source Title
25th European Signal Processing Conference, EUSIPCO 2017
Publisher
IEEE
Pages
1794 - 1798
Language
English
Type
Conference PaperItem Usage Stats
162
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101
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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 functionScattering 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/11693/37531Published Version (Please cite this version)
http://dx.doi.org/10.23919/EUSIPCO.2017.8081518Collections
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