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Distinctive Methods for Speech Enhancement using Kalman Filtering

by Chanchal Pandey, Sandeep Nemad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 5
Year of Publication: 2014
Authors: Chanchal Pandey, Sandeep Nemad
10.5120/18370-9511

Chanchal Pandey, Sandeep Nemad . Distinctive Methods for Speech Enhancement using Kalman Filtering. International Journal of Computer Applications. 105, 5 ( November 2014), 1-5. DOI=10.5120/18370-9511

@article{ 10.5120/18370-9511,
author = { Chanchal Pandey, Sandeep Nemad },
title = { Distinctive Methods for Speech Enhancement using Kalman Filtering },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 5 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number5/18370-9511/ },
doi = { 10.5120/18370-9511 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:36:53.301012+05:30
%A Chanchal Pandey
%A Sandeep Nemad
%T Distinctive Methods for Speech Enhancement using Kalman Filtering
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 5
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In speech communication systems, it is mandatory to have noise free speech signal with high quality and clarity to obtain high performance. In real world it is very complicated to stockpile noise free speech signal all time for the speech communication system. It is found that speech signals get affected by background noise and tamper the system accuracy. It is very important to filter out the background noise form speech signal to enhance the performance of communication systems, it is also important to enhance the robustness of the speech code and also to enhance the listening ability. To filter out the background noise from the desired speech signal several speech filtering algorithms has been introduces in last few years. In this paper different speech enhancement systems have been examined and a Nobel method which is Second Ordered Fast Adaptive Extended Kalman Filter for speech enhancement has been proposed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Speech Enhancement Speech Denoising Speech Communication Wiener Filtering Kalman Filter Fast Adaptive Kalman Filtering Second Ordered Fast Adaptive Extended Kalman Filter.

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