Artículos de revistas
Wavelet-based dynamic time warping
Fecha
2009Registro en:
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, v.227, n.2, p.271-287, 2009
0377-0427
10.1016/j.cam.2008.03.015
Autor
BARBON JR., Sylvio
GUIDO, Rodrigo Capobianco
VIEIRA, Lucimar Sasso
FONSECA, Everthon Silva
SANCHEZ, Fabricio Lopes
SCALASSARA, Paulo Rogerio
MACIEL, Carlos Dias
PEREIRA, Jose Carlos
CHEN, Shi-Huang
Institución
Resumen
Dynamic Time Warping (DTW), a pattern matching technique traditionally used for restricted vocabulary speech recognition, is based on a temporal alignment of the input signal with the template models. The principal drawback of DTW is its high computational cost as the lengths of the signals increase. This paper shows extended results over our previously published conference paper, which introduces an optimized version of the DTW I hat is based on the Discrete Wavelet Transform (DWT). (C) 2008 Elsevier B.V. All rights reserved.