A New Speech Denoising Algorithm Based on Bilateral Filtering and Wavelet Transform

DOI

10.2991/macmc-17.2018.122How to use a DOI?

Keywords

speech denoising; smoothing; bilateral filtering; wavelet transform

Abstract

A speech denoising algorithm based on bilateral filtering and wavelet transform is proposed in this paper in order to solve the noise problem in speech processing. After the discrete wavelet transform, the low-frequency part of the speech signal is filtered by one-dimensional bilateral filtering. Then the soft thresholding wavelet denoising method is performed on the high-frequency part. The experiments show that this method can effectively reduce the noise while fully reserving the signal detail.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Caixia Liu
AU  - Yanyan Hou
AU  - Bin Yang
PY  - 2018/01
DA  - 2018/01
TI  - A New Speech Denoising Algorithm Based on Bilateral Filtering and Wavelet Transform
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 649
EP  - 653
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.122
DO  - 10.2991/macmc-17.2018.122
ID  - Liu2018/01
ER  -