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Research on the Denoising Algorithm of Speech Signal

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 154)

Abstract

Wavelet transform and Hilbert-Huang transform are the main methods on signal denoising. In this paper, the principle and classification of denoising methods based on wavelet transform are studied and the advantages and disadvantages of these methods are analyzed. At the same time, A denoising method of speech signal based on Hilbert-Huang transform and wavelet transform(HHT-WT) is proposed. Simulation experiments show that the HHT-WT method is a better speech denoising method.

Keywords

Speech Signal Wavelet Transform Empirical Mode Decomposition Intrinsic Mode Function Denoising Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

Acknowledgments

This work was supported by A Project of Shandong Province Higher Educational Science and Technology Program (J10LG20), China.

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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.College of information science and engineeringZaozhuang UniversityZaozhuangChina
  2. 2.Shandong Provincial Key Laboratory of Fine Chemicals, School of InformationShandong Polytechnic UniversityJinaChina

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