Introducing Speech and Language Processing (Cambridge Introductions to Language and Linguistics)
Introducing Speech and Language Processing (Cambridge Introductions to Language and Linguistics)
Improved Dynamic Time Warping Based on the Discrete Wavelet Transform
ISMW '07 Proceedings of the Ninth IEEE International Symposium on Multimedia Workshops
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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).