The Research and Analysis of DTW speech recognition algorithm
Ying Zhao · Microcomputer Information · 2012
Speech recognition based on dynamic time warping algorithm is discussed in the paper. The traditional DTW dynamic searching method needs large matrix storing, large space, a great of calculation and higher hardware demanding. In order to reduce the computation of the DTW algorithm and improve the recognition speed, DTW speech recognition algorithm is optimized and improved. Considering the local path constraint and the overall path constraint at the same time, speech recognition is carried out under the limitation of search width. A large number of experiments show that the method can reduce the computational load, increase the recognition speed, but also to a certain extent, improve the speech recognition rate.