文献类型：期刊文献

英文题名：The Research and Analysis of DTW speech recognition algorithm

作者：Zhu Shu-qin[1]; Zhao Ying[2]

第一作者：朱淑琴

机构：[1] Normal Coll., Beijing Union Univ., Beijing, China; [2] Beijing Inst. of Technol., Beijing, China

第一机构：北京联合大学师范学院

年份：0

期号：5

起止页码：150-1, 163

外文期刊名：Microcomputer Information

收录：EI(收录号：13443388)

语种：英文

外文关键词：speech recognition

摘要：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.