Classification of underwater transient signals using MFCC feature vector

被引：0
|
作者：
Lim, Taegyun [1 ]
Bae, Keunsung [1 ]
Hwang, Chansik [1 ]
Lee, Hyeonguk [2 ]
机构：
[1] Kyungpook Natl Univ, Sch Elect Engn & Comp Sci, Taegu, South Korea
[2] Agcy Def Dev, Underwater Surveillance Syst Dept, Daejeon, South Korea
来源：
2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a new method for classification of underwater transient signals, which employs frame-based decision with Mel Frequency Cepstral Coefficients (MFCC). The MFCC feature vector is extracted frame-by-frame basis for an input signal that is detected as a transient signal, and Euclidean distances are calculated between this and all MFCC feature vectors in the reference database. Then each frame of the detected input signal is mapped to the class having minimum Euclidean distance in the reference database. Finally the input signal is classified as the class that has maximum mapping rate in the reference database. Experimental results demonstrate that the proposed method is very promising for classification of underwater transient signals.
引用
收藏
页码：987 / +
页数：2
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