| 基于Wiener自适应滤波算法在语音信号去噪中的研究 |
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| 引用本文： | 曹昌勇;方杰.基于Wiener自适应滤波算法在语音信号去噪中的研究[J].齐齐哈尔大学学报(自然科学版),2013(2):12-16. |
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| 作者姓名： | 曹昌勇;方杰 |
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| 作者单位： | 皖西学院机械与电子工程学院 |
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| 基金项目： | 安徽省高校自然科学基金项目(KJ2010A325);安徽省高校优秀人才基金重点项目(2010SQRL184) |
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| 摘 要： | 主要研究基于Wiener自适应滤波LMS算法与RLS算法在语音信号去噪中的应用。对语音信号与噪声在相关和不相关、平稳和不平稳这四种情况下,分别采用RLS和LMS算法对语音信号进行去噪分析。研究发现,不管信号与噪声处于上面四种情况的任何一种,RLS算法比较优越,而且在处理相关和非平稳的情况下优势更大;对于不相关和平稳的情况,LMS算法的效果较好。
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| 关 键 词： | 语音信号 噪声 RLS算法 LMS算法 |
Research of speech signal denoising based on Wiener adaptive filtering algorithm |
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| Institution: | CAO Chang-yong,FANG Jie(School of Machinery & Electronics Engineering,West Anhui University,Anhui Lu’an 237012,China) |
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| Abstract: | This paper studies speech signal denoising based on the Wiener adaptive filtering LMS algorithm and RLS algorithm.Voice signal and noise in the relevant and irrelevant,smooth and not smooth the four cases,denoising speech signal analysis is discussed.respectively RLS and LMS algorithm.The study found regardless of the signal and noise in any one of the above four cases,RLS algorithm is superior,and in dealing with the greater advantage of the associated and non-stationary case.Irrelevant and stationary case,the LMS algorithm is better. |
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| Keywords: | speech signal noise RLS algorithm LMS algorithm |
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