计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (19): 144-146.

• 数据库、信号与信息处理 • 上一篇    下一篇

基于小波降噪的改进型OSF话音激活检测算法

李 强,黄 冰,王 苗   

  1. 桂林电子科技大学 信息与通信学院,广西 桂林 541004
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-07-01 发布日期:2011-07-01

Modified voice activity detection based on wavelets using order statistics filter

LI Qiang,HUANG Bing,WANG Miao   

  1. School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-07-01 Published:2011-07-01

摘要: 提出了一种基于小波降噪的改进型顺序统计滤波器(OSF)语音端点检测算法。在介绍了浊音分离、小波降噪和基于顺序统计滤波器(OSF)端点检测算法的原理基础上,给出了改进型算法的流程图和实验的仿真图。从结果可以看出,算法对信噪比大于0 dB的语音信号,检测性能较为稳健。

关键词: 小波降噪, 顺序统计滤波器, 端点检测, 低信噪比

Abstract: This paper presents a modified voice activity detection using order statistics filter with wavelets denoising.It describes the principles of voiced-sound separation,noise reduction using wavelets and voice activity detection based on OSF.It gives a flow-process diagram of the modified algorithm,and gets the result of simulation through several experiments.It shows that the performance of the modified algorithm is robust when the signal-to-noise ratio greater than 0 dB.

Key words: wavelets denoise, order statistics filter, voice activity detection, low signal-to-noise ratio