Wavelet-based dynamic time warping

dc.creatorBARBON JR., Sylvio
dc.creatorGUIDO, Rodrigo Capobianco
dc.creatorVIEIRA, Lucimar Sasso
dc.creatorFONSECA, Everthon Silva
dc.creatorSANCHEZ, Fabricio Lopes
dc.creatorSCALASSARA, Paulo Rogerio
dc.creatorMACIEL, Carlos Dias
dc.creatorPEREIRA, Jose Carlos
dc.creatorCHEN, Shi-Huang
dc.date.accessioned2012-10-20T04:25:24Z
dc.date.accessioned2018-07-04T15:44:52Z
dc.date.available2012-10-20T04:25:24Z
dc.date.available2018-07-04T15:44:52Z
dc.date.created2012-10-20T04:25:24Z
dc.date.issued2009
dc.identifierJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, v.227, n.2, p.271-287, 2009
dc.identifier0377-0427
dc.identifierhttp://producao.usp.br/handle/BDPI/30186
dc.identifier10.1016/j.cam.2008.03.015
dc.identifierhttp://dx.doi.org/10.1016/j.cam.2008.03.015
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1626826
dc.description.abstractDynamic 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.
dc.languageeng
dc.publisherELSEVIER SCIENCE BV
dc.relationJournal of Computational and Applied Mathematics
dc.rightsCopyright ELSEVIER SCIENCE BV
dc.rightsrestrictedAccess
dc.subjectDynamic time warping
dc.subjectDiscrete wavelet transform
dc.subjectPattern recognition in spoken language
dc.titleWavelet-based dynamic time warping
dc.typeArtículos de revistas


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