| The Speech-Dynamic Time Warping (DTW) is a technique that allows to quantify the dissimilarities in speech signals. Its goal is to match up elements of one signal with elements of a second signal such that the discrepancy is minimized. This technique involves the use of a distance measure, such as the Euclidian distance and a warping path. The distance is used as a cost. This study focuses on the hardware implementation of Dynamic Time Warping.;The cost calculations are done using a subtractor and multiplier. A cost comparator is also designed to choose minimum cost point on the warping path. |
