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Classification of Underwater Transient Signals Using MFCC Feature Vector  

Lim, Tae-Gyun (경북대학교 전자전기컴퓨터학부)
Hwang, Chan-Sik (경북대학교 전자전기컴퓨터학부)
Lee, Hyeong-Uk (국방과학연구소 수중탐지체계부)
Bae, Keun-Sung (경북대학교 전자전기컴퓨터학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.8C, 2007 , pp. 675-680 More about this Journal
Abstract
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.
Keywords
Underwater transient signal classification; MFCC;
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