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Proceedings Paper

An improved auditory feature based on instantaneous frequency and gammatone filters for underwater acoustic target recognition
Author(s): Yifan Zhang; Ke Xu; Jianwei Wan
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Paper Abstract

Feature extraction based on Gammatone filterbank is more robust than that from Mel filterbank in underwater acoustic recognition. However, both conventional auditory features only represent the energy-based amplitude of the signal, and their performance decrease in low underwater SNR environments. Phase represented by instantaneous frequency (IF) may also contain some characteristics of the target. This paper proposes a novel fusion feature based on the outputs of Gammatone filters, in which an optimized algorithm of instantaneous frequency is given. Experiments employs Support Vector Machine (SVM) as the classifier and relative results indicate that significant performance gains can be obtained with instantaneous frequency information in low noise conditions.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060M (9 August 2018); doi: 10.1117/12.2502996
Show Author Affiliations
Yifan Zhang, National Univ. of Defense Technology (China)
Ke Xu, National Univ. of Defense Technology (China)
Jianwei Wan, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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