Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

De-noising the Speech Signal With FIR Filter Based on Matlab

Authors
Yanxin Wei, Xiujuan Fan
Corresponding Author
Yanxin Wei
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.205How to use a DOI?
Keywords
Matlab, FIR filter, window function, Kaiser window
Abstract
With the advent of the information age, signal transmission has been involving many kinds of fields. During the process of voice signal transmission, there would be inevitably doped with some noise signal, but which would not happen if the very designed filter has been used. In this paper, the window function method is used to select the fast Fourier transform interval, so as to design a FIR digital low-pass filter to achieve the doping in the speech signal in the random noise elimination, and analyze the time domain and frequency domain characteristics of voice signal before and after denoising, compare the quality difference of voice signal before and after filtering. This paper aims to verify the validity of the designed FIR digital low-pass filter's function by Matlab simulation.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.205How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanxin Wei
AU  - Xiujuan Fan
PY  - 2016/12
DA  - 2016/12
TI  - De-noising the Speech Signal With FIR Filter Based on Matlab
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.205
DO  - https://doi.org/10.2991/iceeecs-16.2016.205
ID  - Wei2016/12
ER  -