Dynamic time warping in hydroacoustics signal comparison

• Autorzy: Żak A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the technique of dynamic time warping used as comparison method of hydroacoustics signatures generated by moving ship. In the paper firstly the method of feature extraction from hydroacoustics signatures using calculation of Mel-Frequency Cepstral Coefficients was discussed. Next the method of dynamic time warping for comparison hydroacoustics signals was described. Dynamic Time Warping (DTW) is a well-established algorithm for comparing time series. The basic problem that DTW attempts to solve is how to align two sequences in order to generate the most representative distance measure of their overall difference. The DTW algorithm uses a dynamic programming technique to solve this problem. At the end the chosen results of research were presented on this paper.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2010
• Tom: Vol. 13
• Strony: 279--286
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Żak A.

• Polish Naval Academy Smidowicza 69, 81-103 Gdynia, Poland,

Bibliografia

• [1] C.H. Lee, F.K. Soong, K.K. Paliwal, Automatic Speech and Speaker Recognition: Advanced Topics, Kluwer, Boston, 1996
• [2] S. Salvador, P.Chan, FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space, Florida Institute of Technology, 2006
• [3] T. Schalk, P. J. Foster, Speech Recognition: The Complete Practical Reference Guide, Telecom Library Inc, New York, 1993
• [4] P. Senin, Dynamic Time Warping Algorithm Review, University of Hawaii at Manoa, 2008
• [5] Strona internetowa: http://labrosa.ee.columbia.edu/matlab/dtw/
• [6] Strona internetowa: http://www.learnartificialneuralnetworks.com/speechrecognition.html #timewarping
• [7] Strona internetowa: http://neural.cs.nthu.edu.tw/jang/books/audioSignalProcessing/ dpDtw.asp?title=14-4%20Dynamic%20Time%20Warping
• [8] T. P. Zieliński, Cyfrowe przetwarzanie sygnałów, od teorii do zastosowań, WKŁ, 2009
• [9] A. Żak: Creating patterns for hydroacoustics signals, Hydroacoustics Vol. 8, Gdynia 2005, pp. 265- 270