Vector Interpolation For Time Alignment InSpeech Recognition
E.A. Yfantis and J.D. Elison · WIT transactions on modelling and simulation · 1970
In this paper, a new algorithm for time alignment in speech recognition is presented. This new algorithm, Vector Interpolation, has a classification rate comparable to that of Dynamic Time Warping. While Vector Interpolation is able to match Dynamic Time Warping for recognition accuracy, it requires significantly less computation, making it much faster than DTW based algorithms. Both algorithms are presented and a comparison of the two is made.