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基于小波包变换和小波阈值消噪的语音特征提取 被引量:5

Phonic character extraction based on wavelet packet transform and wavelet threshold denoising
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摘要 为了实现强噪声背景下语音信号的特征提取,根据小波变换的多分辨率特性,以及与人耳耳蜗滤波相一致的特性,利用小波包变换,在各语音特征频率段上,提取出包含丰富的非平稳信息的语音特征;并在小波包分解去噪的基础上,构造了模糊阈值函数,利用小波模糊阈值去噪,得到了信噪比较高的语音信号。研究结果表明,小波包变换和小波阈值去噪,较好地消除了强噪声背景下的噪声,并有效地提取出了语音信号特征。 Aiming at realizing phonic character extraction at stronger noise background, wavelet packet Transform was used, and phonic character including plenty nonstationary information was extracted at phonic character frequency segments, based on the multi-resolution feature of wavelet transform, and its consistency with cochlea filtering. Fuzzy threshold function was constructed, and phonic signal with higher SNR was gained, using wavelet threshold denoising. Experimental results show that, noise is denoised and phonic character is extracted availably at a stronger noise background, using wavelet packet transform and wavelet threshold denolsing.
作者 陈白
出处 《机电工程》 CAS 2008年第9期28-30,共3页 Journal of Mechanical & Electrical Engineering
关键词 小波包变换 语音特征提取 语音消噪 小波阂值消噪 wavelet packet transform phonic character extraction phonic denoising wavelet threshold denoising
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  • 1秦前清 杨宗凯.实用小波分析[M].西安:西安电子科技大学出版社,1998..
  • 2崔锦泰.小波分析导论[M].西安:西安交通大学出版社,1995..
  • 3Donoho DL,Johnstone IM.Ideal spatial adaptation via wavelet shrinkage[J].Biometrika,1994,81:425~ 455.
  • 4Weyrich N,Warhola GT.Wavelet shrinkage and generalized cross validation for image denosing[J].IEEE Trans.Image Processing,1998,(7):82~ 90.
  • 5Mallat S,Hwang W L.Singularity detection and processing with wavelets[J].IEEE Trans Inform Theory,1992,38(2):617-643.
  • 6XU Yan-sun,Weaver J B,Healy D M,et al.Wavelet transform domain filters:a spatially selective noise filtration technique[J].IEEE Trans Image Processing,1994,3(6):747-758.
  • 7Donoho D L.Denoising by soft-thresholding[J].IEEE Trans Inform Theory,1995,41(3):613-627.
  • 8Chang S G,Bin Yu,Vetterli M.Adaptive wavelet thresholding for image denoising and compression[J].IEEE Trans Image Processing,2000,9(9):1532-1546.
  • 9Gao H Y,Bruce A G.Waveshrink with firm shrinkage[J].Statist,1997,7(4):855-874.
  • 10Gao H Y.Wavelet shrinkage denoising using the non-negative garrote[J].J Comput Graph Statist,1998,7(4):469-488.

共引文献12

同被引文献28

  • 1孙才新.输变电设备状态在线监测与诊断技术现状和前景[J].中国电力,2005,38(2):1-7. 被引量:174
  • 2李宏松,苏健民,黄英来,于慧伶.基于声音信号的特征提取方法的研究[J].信息技术,2006,30(1):91-94. 被引量:25
  • 3谢霞,李宏,郑俊.基于GMM的说话人辨认系统及其改进[J].电脑与信息技术,2006,14(2):48-51. 被引量:6
  • 4杨力华.信号处理的小波导引[M].北京:机械工业出版社,2002..
  • 5MALLAT S. A wavelet Tour of Signal Processing[ M ]. 2nd ed. California: Academic Press,1999.
  • 6DONOHO D L. De-noising by soft-thresholding[ J]. IEEE Transactions on Information Theory, 1995,41 ( 3 ) :613 - 627.
  • 7COWMAN R R, DONOHO D L. Translation-invariant Denoising[ M ]. Springer-Verlag, 1994.
  • 8BERKNER K. Smoothness estimates for soft-threshold denoising via thranslation-invariant wavelet transforms [ J ]. Applied and Computational Harmonic Analysis, 2002 (12):1 -24.
  • 9Mallat S, Hwang W L. Singularity detection and processing with wavelets[J]. IEEE Trans Info Theory, 1992, 38(2): 617-643.
  • 10杨力华,戴道清,黄文良,等信号处理的小波导引[M].北京:机械工业出版社,2002.

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