基于DTW 和EMD的孤立词语音识别研究

Research on Isolated Word Speech Recognition Based on DTW and EMD

徐必伟 苏成利 杨 微 曹江涛

Xu Biwei Su Chengli Yang Wei Cao Jiangtao

1.辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001;2.辽宁装备制造职业技术学院,辽宁沈阳110000

1.School of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China;  2.Liaoning Equipment Manufacturing Vocational and Technical College, Shenyang Liaoning 110000, China

关键词: 语音识别, 经验模态分解, 动态时间规整, 孤立词识别

In order to solve the problem of large interference of environmental noise during speech recognition, an isolated word recognition algorithm based on empirical mode decomposition (EMD) and dynamic time warping (DTW) is proposed. In this method, the EMD algorithm is used to decompose the speech signal with poor performance into several basic mode functions (IMF) and remove the interference and noise in the original signal. Then, based on the DTW algorithm, the short-time zero crossing rate and short-time energy are used to detect the endpoint detection of speech signal. After the speech feature parameters are extracted, the speech signal is matched with the reference template. Finally, the shortest path between the reference template and the template to be measured is used as the recognition result. The simulation results show that the proposed algorithm can improve the recognition efficiency of speech and the accuracy of recognition.

:国家自然科学基金项目(61673199);辽宁省高校优秀人才支持计划项目(LJQ2015061)。

10.3969/j.issn.1672-6952.2018.01.013