Research on speech enhancement based on short-time spectrum estimation

doi:10.3778/j.issn.1002-8331.2008.32.002

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (32): 6-9.DOI: 10.3778/j.issn.1002-8331.2008.32.002

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Research on speech enhancement based on short-time spectrum estimation

LEI Jian-jun¹,YANG Zhen²,LIU Gang³,GUO Jun³

1.School of Electronic Information Engineering，Tianjin University，Tianjin 300072，China
2.College of Computer Science，Beijing University of Technology，Beijing 100124，China
3.School of Information Engineering，Beijing University of Posts and Telecommunications，Beijing 100876，China

Received:2008-07-21 Revised:2008-08-18 Online:2008-11-11 Published:2008-11-11
Contact: LEI Jian-jun

基于短时谱估计的语音增强研究

雷建军¹,杨震²,刘刚³,郭军³

1.天津大学电子信息工程学院，天津 300072
2.北京工业大学计算机学院，北京 100124
3.北京邮电大学信息工程学院，北京 100876

通讯作者: 雷建军

Abstract

Abstract: Speech enhancement based on short-time spectrum estimation has good noise robustness，and it is efficient and easy-to-implement.In this paper，spectral subtraction，Wiener filter，and minimum mean square error estimator are demonstrated.Then，their respective advantages and disadvantages of the approaches are outlined.Finally，the applicable field and localization of each method are also pointed out.

Key words: speech enhancement, short-time spectrum, spectral subtraction, Wiener filter, Minimum Mean Square Error

摘要： 基于短时谱估计的语音增强算法具有良好的降噪性能，算法高效且易于实现。本文对谱减法、维纳滤波、最小均方误差估计等此类算法进行系统的论证，结合实验，分析比较了它们的性能差异，并指出了它们各自的优缺点及适用环境。

关键词: 语音增强, 短时谱, 谱减, 维纳滤波, 最小均方误差

LEI Jian-jun¹,YANG Zhen²,LIU Gang³,GUO Jun³. Research on speech enhancement based on short-time spectrum estimation[J]. Computer Engineering and Applications, 2008, 44(32): 6-9.

雷建军¹,杨震²,刘刚³,郭军³. 基于短时谱估计的语音增强研究[J]. 计算机工程与应用, 2008, 44(32): 6-9.

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Research on speech enhancement based on short-time spectrum estimation

基于短时谱估计的语音增强研究

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