期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2013
卷号：2
期号：12
页码：3411-3417
出版社：IJECS
摘要：Speech can be recognized by machine using many algorithms like Dynamic Time Warping, Hidden Markov Model,Artificial Neural Networks etc.,. In this paper, an overview of Dynamic Time Warping and the various distance metrics used tomeasure the spectral distance are discussed. A new distance metric is proposed which reduces the computational complexity
关键词：Pattern Recognition; Dynamic Time Warping;Distance Measures; Slope distance
