Robust Underwater Target Recognition Using Auditory Cepstral Coefficients

被引：0

作者：

Wu, Yaozhen ^{[1
]}

Yang, Yixin ^{[1
]}

Tao, Can ^{[1
]}

Tian, Feng ^{[1
]}

Yang, Long ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China

来源：

OCEANS 2014 - TAIPEI | 2014年

基金：

中国国家自然科学基金;

关键词：

auditory cepstral coefficients; underwater target recognition; auditory filter; cubic-log compression; feature extraction; SPEECH; NOISE; MODEL;

D O I：

暂无

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Feature vector extraction is measured as major step in development of underwater target recognition. To improve robustness of the performance of feature vector extraction, we proposed a novel approach for robust underwater target recognition applying the auditory cepstral coefficients (ACC) based on auditory filter and cubic-log compression instead of Mel filter and logarithmic compression in Melfrequency cepstral coefficients (MFCC). Our experimental results show that the ACC feature represents considerably better than conventional acoustic features, and the ACC feature is used for underwater target recognition system to yield promising recognition performance.

引用

页数：4

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