Underwater sound classification based on Gammatone filter bank and Hilbert-Huang transform

Xiangyang Zeng, Shuguang Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The variable acoustic environment makes it harder for the application of underwater sound recognition system. However, human auditory system has remarkable ability on dealing with complex acoustic conditions. A robust underwater noise target classification system is expected if this ability can be simulated. Aimed at this purpose, a robust underwater sound classification algorithm which employs Gammatone filter bank and Hilbert-Huang transform is studied in this paper. Gammatone filter bank is used for the simulation of nonlinear dividing of human ears. Then the wavelet denoising procedure is applied on the divided subbands. At last, Hilbert-Huang transform is used as the time-frequency analysis tool for the feature extraction. With the help of Hilbert-Huang transform, instantaneous features are extracted, and then used for the built of feature vector. Experimental results indicated the expected efficiency of the proposed algorithm.

源语言英语
主期刊名21st International Congress on Sound and Vibration 2014, ICSV 2014
出版商International Institute of Acoustics and Vibrations
1677-1683
页数7
ISBN(电子版)9781634392389
出版状态已出版 - 2014
活动21st International Congress on Sound and Vibration 2014, ICSV 2014 - Beijing, 中国
期限: 13 7月 201417 7月 2014

出版系列

姓名21st International Congress on Sound and Vibration 2014, ICSV 2014
2

会议

会议21st International Congress on Sound and Vibration 2014, ICSV 2014
国家/地区中国
Beijing
时期13/07/1417/07/14

指纹

探究 'Underwater sound classification based on Gammatone filter bank and Hilbert-Huang transform' 的科研主题。它们共同构成独一无二的指纹。

引用此