Title of article
Wavelet-based dynamic time warping
Author/Authors
Sylvio Barbon Jr.، نويسنده , , Sylvio and Guido، نويسنده , , Rodrigo Capobianco and Vieira، نويسنده , , Lucimar Sasso and Silva Fonseca، نويسنده , , Everthon and Sanchez، نويسنده , , Fabrيcio Lopes and Scalassara، نويسنده , , Paulo Rogério and Maciel، نويسنده , , Carlos Dias and Pereira، نويسنده , , José Carlos and Chen، نويسنده , , Shi-Huang، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
17
From page
271
To page
287
Abstract
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 that is based on the Discrete Wavelet Transform (DWT).
Keywords
Dynamic time warping , Pattern recognition in spoken language , Discrete wavelet transform
Journal title
Journal of Computational and Applied Mathematics
Serial Year
2009
Journal title
Journal of Computational and Applied Mathematics
Record number
1554965
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