首页 | 本学科首页   官方微博 | 高级检索  
     

基于仿生小波的阈值语音增强算法
引用本文:姚凌强,杨鼎才,王天娇. 基于仿生小波的阈值语音增强算法[J]. 电子技术, 2008, 45(2): 59-61
作者姓名:姚凌强  杨鼎才  王天娇
作者单位:燕山大学信息科学与工程学院
摘    要:
人耳对于声音信号的分辨率是非线性的,而仿生小波变换正是由非线性的耳蜗听觉模型发展而来。文章提出一种基于仿生小波变换的语音信号去噪方法,同时针对软硬阈值函数的不足,采用一种修正的硬阈值函数进行处理。仿真结果表明,该方法具有较好的增强效果。

关 键 词:仿生小波变换  语音增强  阈值函数

Threshold speech enhancement method based on bionic wavelet Transform
Yao Lingqiang,Yang Dingcai,Wang Tianjiao. Threshold speech enhancement method based on bionic wavelet Transform[J]. Electronic Technology, 2008, 45(2): 59-61
Authors:Yao Lingqiang  Yang Dingcai  Wang Tianjiao
Abstract:
The frequency resolution of human ear has non-linear characteristics,while BWT(Bionic Wavelet Transform)derives from a nonlinear auditory model of the cochlea.In this paper,a algorithm is proposed for speech de-noising using Bionic Wavelet Transform, some modification is given to hard threshold approach for its drawback.Simulation results indicate that this new method has improved the effect of denoising.
Keywords:bionic wavelet Transform  speech enhancement  threshold function
本文献已被 CNKI 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