首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波分析的语音端点检测算法研究与仿真
引用本文:陈宝远,梁伟明. 基于小波分析的语音端点检测算法研究与仿真[J]. 哈尔滨理工大学学报, 2009, 14(1): 51-54
作者姓名:陈宝远  梁伟明
作者单位:哈尔滨理工大学,测控技术与通信工程学院,黑龙江,哈尔滨,150040
摘    要:以小波变换及多分辨分析为理论基础,对语音端点检测中小波系数方差算法和子带平均能量算法进行了分析和研究,利用语音和噪声的频域差别,对这两种算法进行了优化,并应用于端点检测系统中,有效地改善了小波系数方差算法耗时长、实时性差的缺点,并克服了子带平均能量算法只对高斯白噪声检测效果好的局限性。提高了语音端点检测系统的实用性.通过MATLAB软件仿真的实验结果表明,采用优化算法的系统实现了语音端点检测准确性和快速性的最佳匹配,达到了此类检测设备的实用要求.

关 键 词:端点检测  小波变换  系数方差  子带平均能量

The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis
CHEN Bao-yuan,LIANG Wei-ming. The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis[J]. Journal of Harbin University of Science and Technology, 2009, 14(1): 51-54
Authors:CHEN Bao-yuan  LIANG Wei-ming
Affiliation:School of Measure-control Technology and Communication Engineering;Harbin University of Science and Technology;Harbin 150040;China
Abstract:This paper studies the algorithm of sub-band average-energy and the variance of the wavelet coefficients in speech endpoint detection,which were on the basis of the principle of Wavelet transform and Multi-resolution Analysis.It also optimizes the two algorithms.The proposed algorithm applied to the endpoint detection system improves the drawback of former algorithm in Long-Running and real-time badness which makes use of the variance of speech and noise in frequency characteristics.It also overcomes the li...
Keywords:endpoint detection  wavelet transform  parameter variance  sub-band average-energy  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号