@inproceedings{47eacf25876440d39023e9140ae4c0d6,
title = "Robust underwater target recognition using auditory cepstral coefficients",
abstract = "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 Mel-frequency 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.",
keywords = "auditory cepstral coefficients, auditory filter, cubic-log compression, feature extraction, underwater target recognition",
author = "Yaozhen Wu and Yixin Yang and Can Tao and Feng Tian and Long Yang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; OCEANS 2014 MTS/IEEE Taipei Conference: Oceans Regeneration ; Conference date: 07-04-2014 Through 10-04-2014",
year = "2014",
month = nov,
day = "20",
doi = "10.1109/OCEANS-TAIPEI.2014.6964335",
language = "英语",
series = "OCEANS 2014 - TAIPEI",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "OCEANS 2014 - TAIPEI",
}