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一种基于Hilbert-Huang变换的语音去噪方法
引用本文:张维强,徐晨,宋国乡.一种基于Hilbert-Huang变换的语音去噪方法[J].现代电子技术,2006,29(2):43-45,48.
作者姓名:张维强  徐晨  宋国乡
作者单位:1. 西安电子科技大学,陕西,西安,710071
2. 深圳大学,广东,深圳,518060
摘    要:在介绍Hilbert Huang变换理论的基础上,提出了一种基于HHT变换的语音去噪算法。首先对带噪语音信号做EMD分解,得到各阶IMF分量,然后对高频的IMF分量用小波域去噪中的阈值方法进行处理,然后把经过阈值处理的高频IMF分量和低频的IMF进行叠加,得到重构后的信号,即去噪信号。仿真实验表明基于Hilbert Huang变换的去噪结果优于小波软、硬阈值法的去噪结果,显示了Hilbert Huang变换在处理非平稳信号中的优越性。

关 键 词:Hilbert-Huang变换  经验模态分解  语音信号  固有模态函数  去噪
文章编号:1004-373X(2006)02-043-03
收稿时间:2005-11-26
修稿时间:2005-11-26

A Denoising Method of Speech Signal Based on Hilbert-Huang Transform
ZHANG Weiqiang,XU Chen,SONG Guoxiang.A Denoising Method of Speech Signal Based on Hilbert-Huang Transform[J].Modern Electronic Technique,2006,29(2):43-45,48.
Authors:ZHANG Weiqiang  XU Chen  SONG Guoxiang
Abstract:HilbertHuang Transform(HHT) is a new and effective method of analyzing nonlinear and nonstationary time series.In this paper,a denoising method of speech signal based on HHT is presented.First,speech signal polluted by white noise is decomposed into several Intrinsic Mode Functions(IMF) based on HilbertHuang transform.Then,the intrinsic mode functions of high frequency is preprocessed using threshold method,and we add these IMFs with IMFs of low frequency to achieve denoising signal.Simulation experiments show that the results based on HHT are better than that of soft or hard threshold method.
Keywords:Hilbert-Huang transform  empirical mode decomposition  speech signal  intrinsic mode function  denoising
本文献已被 CNKI 维普 万方数据 等数据库收录!
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