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Whale Sound Reconstruction using MFCC and L2-norm Minimization  

Chong, Ui-Pil (School of IT Convergence, University of Ulsan)
Jeon, Seo-Yun (School of IT Convergence, University of Ulsan)
Hong, Jeong-Pil (School of IT Convergence, University of Ulsan)
Jo, Se-Hyung (School of IT Convergence, University of Ulsan)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.19, no.4, 2018 , pp. 147-152 More about this Journal
Abstract
Underwater transient signals are complex, variable and nonlinear, resulting in a difficulty in accurate modeling with reference patterns. We analyze one type of underwater transient signals, in the form of whale sounds, using the MFCC(Mel-Frequency Cepstral Constant) and synthesize them from the MFCC and the weighted $L_2$-norm minimization techniques. The whales in this experiments are Humpback whales, Right whales, Blue whales, Gray whales, Minke whales. The 20th MFCC coefficients are extracted from the original signals using the MATLAB programming and reconstructed using the weighted $L_2$-norm minimization with the inverse MFCC. Finally, we could find the optimum weighted factor, 3~4 for reconstruction of whale sounds.
Keywords
MFCC; $L_2-norm$; Whale Sounds; Sound Reconstruction; Whale Contents;
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