On the Use of Dynamic Time Warping for Word Spotting and Connected Word Recognition*
Cory S. Myers, L. R. Rabiner, A. E. Rosenberg · Bell System Technical Journal · 1981
Several variations on algorithms for dynamic time warping for speech processing applications have been proposed. This paper compares two of these algorithms, the fixed-range method and the local minimum method. We show that, based on results from some simple word spotting and connected word recognition experiments, the local minimum method performs considerably better than the fixed-range method. We describe explanations of this behavior and techniques for optimizing the parameters of the local minimum algorithm for both word spotting and connected word recognition.