计算机技术与发展2013，Vol.23Issue(7)：70-72,76,4.DOI:10.3969/j.issn.1673-629X.2013.07.017
基于改进DTW的机器人语音指令识别系统研究
Study of Voice Command Recognition System for Robot Based on Improved DTW
摘要
Abstract
Dynamic Time Warping (DTW)is a kind of classical algorithm in speech recognition system.Because of the simple and valid,DTW method has been widely used in speech recognition,especially for the recognition of isolated word.In order to achieve the purpose of increasing the recognition rate and recognition speed of robot voice recognition system,an improved DTW speech recognition algorithm is performed here.Improved voice endpoint detection and improved DTW algorithm simulation experiment has been presented in this proposed identification algorithm in MATLAB 7.0,the experimental results show that the proposed method can improve the recognition rate and reduce the recognition time.Finally,the algorithm is transplanted to the robot,in a quiet environment the practical application turns out that the robot can quickly identify the content of the speech.In conclusion,the improved speech recognition algorithm can effectively improve the recognition rate and recognition speed.关键词
孤立词语音识别/动态时间规整/语音端点检测Key words
isolated word speech recognition/ DTW/ voice endpoint detection分类
信息技术与安全科学引用本文复制引用
胡亚洲,王新民,曹江涛..基于改进DTW的机器人语音指令识别系统研究[J].计算机技术与发展,2013,23(7):70-72,76,4.基金项目
辽宁省高校创新团队支持计划项目(LT2010058) （LT2010058）
