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基于小波分析的阈值语音信号去噪研究
引用本文:刘波,聂明新,向俊涛. 基于小波分析的阈值语音信号去噪研究[J]. 现代计算机, 2007, 0(4): 20-22
作者姓名:刘波  聂明新  向俊涛
作者单位:武汉理工大学信息工程学院,武汉430070
摘    要:基于小波分析的阈值语音信号去噪技术是语音信号处理的一个重要热点,主要是围绕阈值函数的选取来讨论的,传统的阈值函数主要有硬阈值函数和软阈值函数,由于应用范围有限,使得这两种阈值函数不能满足很多方面的要求.基于传统的小波阈值函数改进的基础上,对语音信号进行去噪,效果较传统的阈值函数有了进一步的改善.

关 键 词:语音信号去噪  阈值函数  小波分析
修稿时间:2007-03-09

Research on Threshold of Speech Signal De-noise Based on Wavelet Analysis
LIU Bo,NIE Ming-xin,XIANG Jun-tao. Research on Threshold of Speech Signal De-noise Based on Wavelet Analysis[J]. Modem Computer, 2007, 0(4): 20-22
Authors:LIU Bo  NIE Ming-xin  XIANG Jun-tao
Affiliation:School of Information Engineering, Wuhan University of Technology, Wuhan 430070 China
Abstract:Speech signal de-noise based on wavelet analysis is a hot spots in speech signal processing, it is discussed about the selection of threshold function. There are two traditional threshold function, hardthreshold function and soft-threshold function, these two But they cannot satisfy the demand of many fields because of limited utilization. By improving the threshold function based on the traditional threshold function, the effect is better than using traditional threshold function.
Keywords:Speech Signal De-Noise   Threshold Function   Wavelet Analysis
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