An improved auditory feature based on instantaneous frequency and gammatone filters for underwater acoustic target recognition

Yifan Zhang; Ke Xu; Jianwei Wan

doi:10.1117/12.2502996

9 August 2018 An improved auditory feature based on instantaneous frequency and gammatone filters for underwater acoustic target recognition

Yifan Zhang, Ke Xu, Jianwei Wan

Author Affiliations +

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108060M (2018) https://doi.org/10.1117/12.2502996
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Yifan Zhang, Ke Xu, and Jianwei Wan "An improved auditory feature based on instantaneous frequency and gammatone filters for underwater acoustic target recognition", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060M (9 August 2018); https://doi.org/10.1117/12.2502996

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