Improved algorithm of DTW in speech recognition

被引:3
作者
Hu Zhi-Qiang [1 ]
Zhen Jia-Qi [1 ]
Wang Xin [1 ]
Liu Zi-Wei [1 ]
Liu Yong [1 ]
机构
[1] Heilongjiang Univ, Coll Elect Engn, Harbin 150080, Peoples R China
来源
2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRONIC MATERIALS, COMPUTERS AND MATERIALS ENGINEERING (AEMCME 2019) | 2019年 / 563卷
关键词
D O I
10.1088/1757-899X/563/5/052072
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper improves the Dynamic Time Warping (DTW) algorithm. In order to change the problem of the traditional search range of DTW speech recognition algorithm is too large, an improved DTW algorithm is proposed to limit the search path. Firstly, the traditional algorithm is analyzed to find its speech recognition search path, distortion and recognition efficiency. Secondly, the improved algorithm is introduced, the search path is limited, and simulation is carried out in MATLAB. Compare the improvement results with the improved recognition results before comparing the distortion and recognition efficiency, and the improved efficiency is calculated. Experimental results show that the improved new speech recognition algorithm is superior to the traditional algorithm in overall performance.
引用
收藏
页数:6
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