基于自适应共轭梯度参数估计的顽健卡尔曼滤波语音增强算法

TN91L; 对于加性噪声影响下的语音信号,利用双通道输入建立起来的增广卡尔曼滤波器模型,采用自适应共轭梯度方法对纯净语音和有色噪声干扰模型分别进行参数估计,提出了一种有效的语音增强算法.由于该方法对模型参数的估计精确性较高,而且估计速度快,同卡尔曼滤波类的其它语音增强方法相比,其语音增强效果良好,且具有一定的顽健性.仿真实验表明在环境噪声很复杂的情况下,该方法仍然有效....

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Published inTongxin Xuebao Vol. 25; no. 8; pp. 44 - 51
Main Authors 董婧, 赵晓晖
Format Journal Article
LanguageChinese
Published 吉林大学,通信工程学院信息科学实验室,吉林,长春,130012 2004
Editorial Department of Journal on Communications
Subjects
顽健性
语音增强
自适应参数估计
卡尔曼滤波器
Online AccessGet full text
ISSN1000-436X
DOI10.3321/j.issn:1000-436X.2004.08.006

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Abstract TN91L; 对于加性噪声影响下的语音信号,利用双通道输入建立起来的增广卡尔曼滤波器模型,采用自适应共轭梯度方法对纯净语音和有色噪声干扰模型分别进行参数估计,提出了一种有效的语音增强算法.由于该方法对模型参数的估计精确性较高,而且估计速度快,同卡尔曼滤波类的其它语音增强方法相比,其语音增强效果良好,且具有一定的顽健性.仿真实验表明在环境噪声很复杂的情况下,该方法仍然有效.
AbstractList TN91L; 对于加性噪声影响下的语音信号,利用双通道输入建立起来的增广卡尔曼滤波器模型,采用自适应共轭梯度方法对纯净语音和有色噪声干扰模型分别进行参数估计,提出了一种有效的语音增强算法.由于该方法对模型参数的估计精确性较高,而且估计速度快,同卡尔曼滤波类的其它语音增强方法相比,其语音增强效果良好,且具有一定的顽健性.仿真实验表明在环境噪声很复杂的情况下,该方法仍然有效.
Author 董婧
赵晓晖
AuthorAffiliation 吉林大学,通信工程学院信息科学实验室,吉林,长春,130012
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语音增强
自适应参数估计
卡尔曼滤波器
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Title 基于自适应共轭梯度参数估计的顽健卡尔曼滤波语音增强算法
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