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 ,
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).
